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ORCIDJonathan P. How
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- affiliation: Massachusetts Institute of Technology, Department of Aeronautics and Astronautics, Cambridge, MA, USA
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2020 – today
- 2024
[j100]Stewart Jamieson
, Jonathan P. How, Yogesh A. Girdhar:
Finding the optimal exploration-exploitation trade-off online through Bayesian risk estimation and minimization. Artif. Intell. 330: 104096 (2024)- [j99]Andrea Soltoggio, Eseoghene Ben-Iwhiwhu, Vladimir Braverman, Eric Eaton, Benjamin Epstein, Yunhao Ge, Lucy Halperin, Jonathan P. How, Laurent Itti, Michael A. Jacobs, Pavan Kantharaju, Long Le, Steven Lee, Xinran Liu, Sildomar T. Monteiro, David Musliner, Saptarshi Nath, Priyadarshini Panda, Christos Peridis, Hamed Pirsiavash, Vishwa S. Parekh, Kaushik Roy, Shahaf S. Shperberg, Hava T. Siegelmann, Peter Stone, Kyle Vedder, Jingfeng Wu, Lin Yang, Guangyao Zheng, Soheil Kolouri:
A collective AI via lifelong learning and sharing at the edge. Nat. Mac. Intell. 6(3): 251-264 (2024) - [j98]Kota Kondo, Reinaldo Figueroa, Juan Rached, Jesus Tordesillas, Parker C. Lusk, Jonathan P. How:
Robust MADER: Decentralized Multiagent Trajectory Planner Robust to Communication Delay in Dynamic Environments. IEEE Robotics Autom. Lett. 9(2): 1476-1483 (2024) - [j97]Parker C. Lusk, Jonathan P. How:
CLIPPER: Robust Data Association Without an Initial Guess. IEEE Robotics Autom. Lett. 9(4): 3092-3099 (2024) - [j96]Andrea Tagliabue, Jonathan P. How:
Tube-NeRF: Efficient Imitation Learning of Visuomotor Policies From MPC via Tube-Guided Data Augmentation and NeRFs. IEEE Robotics Autom. Lett. 9(6): 5544-5551 (2024) - [j95]Andrew Fishberg, Brian J. Quiter, Jonathan P. How:
MURP: Multi-Agent Ultra-Wideband Relative Pose Estimation With Constrained Communications in 3D Environments. IEEE Robotics Autom. Lett. 9(11): 10612-10619 (2024) - [j94]Yulun Tian, Jonathan P. How:
Spectral Sparsification for Communication-Efficient Collaborative Rotation and Translation Estimation. IEEE Trans. Robotics 40: 257-276 (2024) - [j93]Xiaoyi Cai, Siddharth Ancha, Lakshay Sharma, Philip R. Osteen, Bernadette Bucher, Stephen Phillips, Jiuguang Wang, Michael Everett, Nicholas Roy, Jonathan P. How:
EVORA: Deep Evidential Traversability Learning for Risk-Aware Off-Road Autonomy. IEEE Trans. Robotics 40: 3756-3777 (2024) - [j92]Alan Papalia, Andrew Fishberg, Brendan W. O'Neill, Jonathan P. How, David M. Rosen, John J. Leonard:
Certifiably Correct Range-Aided SLAM. IEEE Trans. Robotics 40: 4265-4283 (2024) - [j91]Andrea Tagliabue, Jonathan P. How:
Efficient Deep Learning of Robust Policies From MPC Using Imitation and Tube-Guided Data Augmentation. IEEE Trans. Robotics 40: 4301-4321 (2024) - [c250]Nicholas Rober, Karan Mahesh, Tyler M. Paine, Max L. Greene, Steven Lee, Sildomar T. Monteiro, Michael R. Benjamin, Jonathan P. How:
Online Data-Driven Safety Certification for Systems Subject to Unknown Disturbances. ICRA 2024: 9939-9945 - [c249]Kota Kondo, Claudius T. Tewari, Mason B. Peterson, Annika Thomas, Jouko Kinnari, Andrea Tagliabue, Jonathan P. How:
PUMA: Fully Decentralized Uncertainty-aware Multiagent Trajectory Planner with Real-time Image Segmentation-based Frame Alignment. ICRA 2024: 13961-13967 - [i153]Jouko Kinnari, Annika Thomas, Parker C. Lusk, Kota Kondo, Jonathan P. How:
SOS-SLAM: Segmentation for Open-Set SLAM in Unstructured Environments. CoRR abs/2401.04791 (2024) - [i152]Parker C. Lusk, Jonathan P. How:
CLIPPER: Robust Data Association without an Initial Guess. CoRR abs/2402.07284 (2024) - [i151]Lakshay Sharma, Jonathan P. How:
Look Before You Leap: Socially Acceptable High-Speed Ground Robot Navigation in Crowded Hallways. CoRR abs/2403.13284 (2024) - [i150]Naman Aggarwal, Jonathan P. How:
SDP Synthesis of Maximum Coverage Trees for Probabilistic Planning under Control Constraints. CoRR abs/2403.14605 (2024) - [i149]Kota Kondo, Andrea Tagliabue, Xiaoyi Cai, Claudius T. Tewari, Olivia Garcia, Marcos Espitia-Alvarez, Jonathan P. How:
CGD: Constraint-Guided Diffusion Policies for UAV Trajectory Planning. CoRR abs/2405.01758 (2024) - [i148]Minjae Cho, Jonathan P. How, Chuangchuang Sun:
Out-of-Distribution Adaptation in Offline RL: Counterfactual Reasoning via Causal Normalizing Flows. CoRR abs/2405.03892 (2024) - [i147]Mason B. Peterson, Parker C. Lusk, Antonio Avila, Jonathan P. How:
MOTLEE: Collaborative Multi-Object Tracking Using Temporal Consistency for Neighboring Robot Frame Alignment. CoRR abs/2405.05210 (2024) - [i146]Kota Kondo, Claudius T. Tewari, Andrea Tagliabue, Jesus Tordesillas, Parker C. Lusk, Jonathan P. How:
PRIMER: Perception-Aware Robust Learning-based Multiagent Trajectory Planner. CoRR abs/2406.10060 (2024) - [i145]Xiaoyi Cai, James Queeney, Tong Xu, Aniket Datar, Chenhui Pan, Max Miller, Ashton Flather, Philip R. Osteen, Nicholas Roy, Xuesu Xiao, Jonathan P. How:
PIETRA: Physics-Informed Evidential Learning for Traversing Out-of-Distribution Terrain. CoRR abs/2409.03005 (2024) - [i144]Naman Aggarwal, Jonathan P. How:
SDP Synthesis of Distributionally Robust Backward Reachable Trees for Probabilistic Planning. CoRR abs/2409.09059 (2024) - [i143]Alan Papalia, Yulun Tian, David M. Rosen, Jonathan P. How, John J. Leonard:
An Overview of the Burer-Monteiro Method for Certifiable Robot Perception. CoRR abs/2410.00117 (2024) - [i142]Nicholas Rober, Jonathan P. How:
Constraint-Aware Refinement for Safety Verification of Neural Feedback Loops. CoRR abs/2410.00145 (2024) - [i141]Karan Mahesh, Tyler M. Paine, Max L. Greene, Nicholas Rober, Steven Lee, Sildomar T. Monteiro, Anuradha Annaswamy, Michael R. Benjamin, Jonathan P. How:
Safe Autonomy for Uncrewed Surface Vehicles Using Adaptive Control and Reachability Analysis. CoRR abs/2410.01038 (2024) - 2023
- [j90]Parker C. Lusk, Devarth Parikh, Jonathan P. How:
GraffMatch: Global Matching of 3D Lines and Planes for Wide Baseline LiDAR Registration. IEEE Robotics Autom. Lett. 8(2): 632-639 (2023) - [j89]Jesus Tordesillas, Jonathan P. How:
Deep-PANTHER: Learning-Based Perception-Aware Trajectory Planner in Dynamic Environments. IEEE Robotics Autom. Lett. 8(3): 1399-1406 (2023) - [j88]Parker C. Lusk, Kaveh Fathian, Jonathan P. How:
MIXER: Multiattribute, Multiway Fusion of Uncertain Pairwise Affinities. IEEE Robotics Autom. Lett. 8(5): 2462-2469 (2023) - [j87]Macheng Shen, Jonathan P. How:
Implicit Ensemble Training for Efficient and Robust Multiagent Reinforcement Learning. Trans. Mach. Learn. Res. 2023 (2023) - [j86]Qiangqiang Huang, Can Pu, Kasra Khosoussi, David M. Rosen, Dehann Fourie, Jonathan P. How, John J. Leonard:
Incremental Non-Gaussian Inference for SLAM Using Normalizing Flows. IEEE Trans. Robotics 39(2): 1458-1475 (2023) - [j85]Xiaoyi Cai, Brent Schlotfeldt, Kasra Khosoussi, Nikolay Atanasov, George J. Pappas, Jonathan P. How:
Energy-Aware, Collision-Free Information Gathering for Heterogeneous Robot Teams. IEEE Trans. Robotics 39(4): 2585-2602 (2023) - [c248]Nicholas Rober, Michael Everett, Songan Zhang, Jonathan P. How:
A Hybrid Partitioning Strategy for Backward Reachability of Neural Feedback Loops. ACC 2023: 3523-3528 - [c247]Kota Kondo, Jesus Tordesillas, Reinaldo Figueroa, Juan Rached, Joseph Merkel, Parker C. Lusk, Jonathan P. How:
Robust MADER: Decentralized and Asynchronous Multiagent Trajectory Planner Robust to Communication Delay. ICRA 2023: 1687-1693 - [c246]Stewart Jamieson, Jonathan P. How, Yogesh A. Girdhar:
DeepSeeColor: Realtime Adaptive Color Correction for Autonomous Underwater Vehicles via Deep Learning Methods. ICRA 2023: 3095-3101 - [c245]Andrea Tagliabue, Yi-Hsuan Hsiao, Urban Fasel, J. Nathan Kutz, Steven L. Brunton, YuFeng Chen, Jonathan P. How:
Robust, High-Rate Trajectory Tracking on Insect-Scale Soft-Actuated Aerial Robots with Deep-Learned Tube MPC. ICRA 2023: 3383-3389 - [c244]Lakshay Sharma, Michael Everett, Donggun Lee, Xiaoyi Cai, Philip R. Osteen, Jonathan P. How:
RAMP: A Risk-Aware Mapping and Planning Pipeline for Fast Off-Road Ground Robot Navigation. ICRA 2023: 5730-5736 - [c243]Lena M. Downes, Ted J. Steiner, Rebecca L. Russell, Jonathan P. How:
Wide-Area Geolocalization with a Limited Field of View Camera. ICRA 2023: 10594-10600 - [c242]Mason B. Peterson, Parker C. Lusk, Jonathan P. How:
MOTLEE: Distributed Mobile Multi-Object Tracking with Localization Error Elimination. IROS 2023: 719-726 - [c241]Jacqueline Ankenbauer, Parker C. Lusk, Annika Thomas, Jonathan P. How:
Global Localization in Unstructured Environments Using Semantic Object Maps Built from Various Viewpoints. IROS 2023: 1358-1365 - [c240]Tong Zhao, Andrea Tagliabue, Jonathan P. How:
Efficient Deep Learning of Robust, Adaptive Policies using Tube MPC-Guided Data Augmentation. IROS 2023: 1705-1712 - [c239]Yulun Tian, Yun Chang, Long Quang, Arthur Schang, Carlos Nieto-Granda, Jonathan P. How, Luca Carlone:
Resilient and Distributed Multi-Robot Visual SLAM: Datasets, Experiments, and Lessons Learned. IROS 2023: 11027-11034 - [c238]Xiaoyi Cai, Michael Everett, Lakshay Sharma, Philip R. Osteen, Jonathan P. How:
Probabilistic Traversability Model for Risk-Aware Motion Planning in Off-Road Environments. IROS 2023: 11297-11304 - [d1]Lena M. Downes, Ted J. Steiner, Rebecca L. Russell, Jonathan P. How:
Wide-Area Geolocalization with a Limited Field of View Camera in Challenging Urban Environments Dataset. Zenodo, 2023
- [i140]Alan Papalia, Andrew Fishberg, Brendan W. O'Neill, Jonathan P. How, David M. Rosen, John J. Leonard:
Certifiably Correct Range-Aided SLAM. CoRR abs/2302.11614 (2023) - [i139]Stewart Jamieson, Jonathan P. How, Yogesh A. Girdhar:
DeepSeeColor: Realtime Adaptive Color Correction for Autonomous Underwater Vehicles via Deep Learning Methods. CoRR abs/2303.04025 (2023) - [i138]Jacqueline Ankenbauer, Parker C. Lusk, Jonathan P. How:
Global Localization in Unstructured Environments using Semantic Object Maps Built from Various Viewpoints. CoRR abs/2303.04658 (2023) - [i137]Kota Kondo, Reinaldo Figueroa, Juan Rached, Jesus Tordesillas, Parker C. Lusk, Jonathan P. How:
Robust MADER: Decentralized Multiagent Trajectory Planner Robust to Communication Delay in Dynamic Environments. CoRR abs/2303.06222 (2023) - [i136]Tong Zhao, Andrea Tagliabue, Jonathan P. How:
Efficient Deep Learning of Robust, Adaptive Policies using Tube MPC-Guided Data Augmentation. CoRR abs/2303.15688 (2023) - [i135]Evelyn Ruff, Rebecca L. Russell, Matthew Stoeckle, Piero Miotto, Jonathan P. How:
Surrogate Neural Networks for Efficient Simulation-based Trajectory Planning Optimization. CoRR abs/2303.17468 (2023) - [i134]Yulun Tian, Yun Chang, Long Quang, Arthur Schang, Carlos Nieto-Granda, Jonathan P. How, Luca Carlone:
Resilient and Distributed Multi-Robot Visual SLAM: Datasets, Experiments, and Lessons Learned. CoRR abs/2304.04362 (2023) - [i133]Mason B. Peterson, Parker C. Lusk, Jonathan P. How:
MOTLEE: Distributed Mobile Multi-Object Tracking with Localization Error Elimination. CoRR abs/2304.12175 (2023) - [i132]Andrea Tagliabue, Jonathan P. How:
Efficient Deep Learning of Robust Policies from MPC using Imitation and Tube-Guided Data Augmentation. CoRR abs/2306.00286 (2023) - [i131]Anthony G. Francis, Claudia Pérez-D'Arpino, Chengshu Li, Fei Xia, Alexandre Alahi, Rachid Alami, Aniket Bera, Abhijat Biswas, Joydeep Biswas, Rohan Chandra, Hao-Tien Lewis Chiang, Michael Everett, Sehoon Ha, Justin W. Hart, Jonathan P. How, Haresh Karnan, Tsang-Wei Edward Lee, Luis J. Manso, Reuth Mirsky, Sören Pirk, Phani-Teja Singamaneni, Peter Stone, Ada V. Taylor, Peter Trautman, Nathan Tsoi, Marynel Vázquez, Xuesu Xiao, Peng Xu, Naoki Yokoyama, Alexander Toshev, Roberto Martin Martin:
Principles and Guidelines for Evaluating Social Robot Navigation Algorithms. CoRR abs/2306.16740 (2023) - [i130]Jesus Tordesillas, Jonathan P. How, Marco Hutter:
RAYEN: Imposition of Hard Convex Constraints on Neural Networks. CoRR abs/2307.08336 (2023) - [i129]Lena M. Downes, Ted J. Steiner, Rebecca L. Russell, Jonathan P. How:
Wide-Area Geolocalization with a Limited Field of View Camera in Challenging Urban Environments. CoRR abs/2308.07432 (2023) - [i128]Jason J. Choi, Donggun Lee, Boyang Li, Jonathan P. How, Koushil Sreenath, Sylvia L. Herbert, Claire J. Tomlin:
A Forward Reachability Perspective on Robust Control Invariance and Discount Factors in Reachability Analysis. CoRR abs/2310.17180 (2023) - [i127]Nicholas Rober, Karan Mahesh, Tyler M. Paine, Max L. Greene, Steven Lee, Sildomar T. Monteiro, Michael R. Benjamin, Jonathan P. How:
Online Data-Driven Safety Certification for Systems Subject to Unknown Disturbances. CoRR abs/2310.19256 (2023) - [i126]Andrea Tagliabue, Kota Kondo, Tong Zhao, Mason B. Peterson, Claudius T. Tewari, Jonathan P. How:
REAL: Resilience and Adaptation using Large Language Models on Autonomous Aerial Robots. CoRR abs/2311.01403 (2023) - [i125]Kota Kondo, Claudius T. Tewari, Mason B. Peterson, Annika Thomas, Jouko Kinnari, Andrea Tagliabue, Jonathan P. How:
PUMA: Fully Decentralized Uncertainty-aware Multiagent Trajectory Planner with Real-time Image Segmentation-based Frame Alignment. CoRR abs/2311.03655 (2023) - [i124]Xiaoyi Cai, Siddharth Ancha, Lakshay Sharma, Philip R. Osteen, Bernadette Bucher, Stephen Phillips, Jiuguang Wang, Michael Everett, Nicholas Roy, Jonathan P. How:
EVORA: Deep Evidential Traversability Learning for Risk-Aware Off-Road Autonomy. CoRR abs/2311.06234 (2023) - [i123]Andrea Tagliabue, Jonathan P. How:
Tube-NeRF: Efficient Imitation Learning of Visuomotor Policies from MPC using Tube-Guided Data Augmentation and NeRFs. CoRR abs/2311.14153 (2023) - [i122]Andrew Fishberg, Brian J. Quiter, Jonathan P. How:
MURP: Multi-Agent Ultra-Wideband Relative Pose Estimation with Constrained Communications in 3D Environments. CoRR abs/2312.17731 (2023) - 2022
- [j84]Sharan Raja, Golnaz Habibi, Jonathan P. How:
Communication-Aware Consensus-Based Decentralized Task Allocation in Communication Constrained Environments. IEEE Access 10: 19753-19767 (2022) - [j83]Jesus Tordesillas, Jonathan P. How:
PANTHER: Perception-Aware Trajectory Planner in Dynamic Environments. IEEE Access 10: 22662-22677 (2022) - [j82]Jesus Tordesillas, Jonathan P. How:
MINVO Basis: Finding Simplexes with Minimum Volume Enclosing Polynomial Curves. Comput. Aided Des. 151: 103341 (2022) - [j81]Michael Everett, Björn Lütjens, Jonathan P. How:
Certifiable Robustness to Adversarial State Uncertainty in Deep Reinforcement Learning. IEEE Trans. Neural Networks Learn. Syst. 33(9): 4184-4198 (2022) - [j80]Jesus Tordesillas, Jonathan P. How:
MADER: Trajectory Planner in Multiagent and Dynamic Environments. IEEE Trans. Robotics 38(1): 463-476 (2022) - [j79]Jesus Tordesillas, Brett Thomas Lopez, Michael Everett, Jonathan P. How:
FASTER: Fast and Safe Trajectory Planner for Navigation in Unknown Environments. IEEE Trans. Robotics 38(2): 922-938 (2022) - [j78]Yulun Tian, Yun Chang, Fernando Herrera Arias, Carlos Nieto-Granda, Jonathan P. How, Luca Carlone:
Kimera-Multi: Robust, Distributed, Dense Metric-Semantic SLAM for Multi-Robot Systems. IEEE Trans. Robotics 38(4): 2022-2038 (2022) - [c237]Marwa Abdulhai, Dong-Ki Kim, Matthew Riemer, Miao Liu, Gerald Tesauro, Jonathan P. How:
Context-Specific Representation Abstraction for Deep Option Learning. AAAI 2022: 5959-5967 - [c236]Miguel Calvo-Fullana, Jonathan P. How:
Distributed Filtering with Value of Information Censoring. ACC 2022: 4451-4457 - [c235]Nicholas Rober, Michael Everett, Jonathan P. How:
Backward Reachability Analysis for Neural Feedback Loops. CDC 2022: 2897-2904 - [c234]Miguel Calvo-Fullana, Jonathan P. How:
Mission-Aware Value of Information Censoring for Distributed Filtering. CDC 2022: 3920-3925 - [c233]Andrea Tagliabue, Dong-Ki Kim, Michael Everett, Jonathan P. How:
Demonstration-Efficient Guided Policy Search via Imitation of Robust Tube MPC. ICRA 2022: 462-468 - [c232]Chuangchuang Sun, Dong-Ki Kim, Jonathan P. How:
ROMAX: Certifiably Robust Deep Multiagent Reinforcement Learning via Convex Relaxation. ICRA 2022: 5503-5510 - [c231]Andrew Fishberg, Jonathan P. How:
Multi-Agent Relative Pose Estimation with UWB and Constrained Communications. IROS 2022: 778-785 - [c230]Xiaoyi Cai, Michael Everett, Jonathan Fink, Jonathan P. How:
Risk-Aware Off-Road Navigation via a Learned Speed Distribution Map. IROS 2022: 2931-2937 - [c229]Yulun Tian, Amrit Singh Bedi, Alec Koppel, Miguel Calvo-Fullana, David M. Rosen, Jonathan P. How:
Distributed Riemannian Optimization with Lazy Communication for Collaborative Geometric Estimation. IROS 2022: 4391-4398 - [c228]Parker C. Lusk, Jonathan P. How:
Global Data Association for SLAM with 3D Grassmannian Manifold Objects. IROS 2022: 4463-4470 - [c227]Andrea Tagliabue, Jonathan P. How:
Output Feedback Tube MPC-Guided Data Augmentation for Robust, Efficient Sensorimotor Policy Learning. IROS 2022: 8644-8651 - [c226]Lena M. Downes, Dong-Ki Kim, Ted J. Steiner, Jonathan P. How:
City-wide Street-to-Satellite Image Geolocalization of a Mobile Ground Agent. IROS 2022: 11102-11108 - [c225]Macheng Shen, Jonathan P. How:
Safe adaptation in multiagent competition. IROS 2022: 12441-12447 - [c224]Dong-Ki Kim, Matthew Riemer, Miao Liu, Jakob N. Foerster, Michael Everett, Chuangchuang Sun, Gerald Tesauro, Jonathan P. How:
Influencing Long-Term Behavior in Multiagent Reinforcement Learning. NeurIPS 2022 - [i121]Yulun Tian, Amrit Singh Bedi, Alec Koppel, Miguel Calvo-Fullana, David M. Rosen, Jonathan P. How:
Distributed Riemannian Optimization with Lazy Communication for Collaborative Geometric Estimation. CoRR abs/2203.00851 (2022) - [i120]Dong-Ki Kim, Matthew Riemer, Miao Liu, Jakob N. Foerster, Michael Everett, Chuangchuang Sun, Gerald Tesauro, Jonathan P. How:
Influencing Long-Term Behavior in Multiagent Reinforcement Learning. CoRR abs/2203.03535 (2022) - [i119]Lena M. Downes, Dong-Ki Kim, Ted J. Steiner, Jonathan P. How:
City-wide Street-to-Satellite Image Geolocalization of a Mobile Ground Agent. CoRR abs/2203.05612 (2022) - [i118]Macheng Shen, Jonathan P. How:
Safe adaptation in multiagent competition. CoRR abs/2203.07562 (2022) - [i117]Andrew Fishberg, Jonathan P. How:
Multi-Agent Relative Pose Estimation with UWB and Constrained Communications. CoRR abs/2203.11004 (2022) - [i116]Xiaoyi Cai, Michael Everett, Jonathan Fink, Jonathan P. How:
Risk-Aware Off-Road Navigation via a Learned Speed Distribution Map. CoRR abs/2203.13429 (2022) - [i115]Miguel Calvo-Fullana, Jonathan P. How:
Distributed Filtering with Value of Information Censoring. CoRR abs/2204.00474 (2022) - [i114]Nicholas Rober, Michael Everett, Jonathan P. How:
Backward Reachability Analysis for Neural Feedback Loops. CoRR abs/2204.08319 (2022) - [i113]Parker C. Lusk, Jonathan P. How:
Global Data Association for SLAM with 3D Grassmannian Manifold Objects. CoRR abs/2205.08556 (2022) - [i112]Xiaoyi Cai, Brent Schlotfeldt, Kasra Khosoussi, Nikolay Atanasov, George J. Pappas, Jonathan P. How:
Energy-Aware, Collision-Free Information Gathering for Heterogeneous Robot Teams. CoRR abs/2208.00262 (2022) - [i111]Jesus Tordesillas, Jonathan P. How:
Deep-PANTHER: Learning-Based Perception-Aware Trajectory Planner in Dynamic Environments. CoRR abs/2209.01268 (2022) - [i110]Andrea Tagliabue, Yi-Hsuan Hsiao, Urban Fasel, J. Nathan Kutz, Steven L. Brunton, YuFeng Chen, Jonathan P. How:
Robust, High-Rate Trajectory Tracking on Insect-Scale Soft-Actuated Aerial Robots with Deep-Learned Tube MPC. CoRR abs/2209.10007 (2022) - [i109]Lena M. Downes, Ted J. Steiner, Rebecca L. Russell, Jonathan P. How:
Wide-Area Geolocalization with a Limited Field of View Camera. CoRR abs/2209.11854 (2022) - [i108]Kota Kondo, Jesus Tordesillas, Reinaldo Figueroa, Juan Rached, Joseph Merkel, Parker C. Lusk, Jonathan P. How:
Robust MADER: Decentralized and Asynchronous Multiagent Trajectory Planner Robust to Communication Delay. CoRR abs/2209.13667 (2022) - [i107]Nicholas Rober, Sydney M. Katz, Chelsea Sidrane, Esen Yel, Michael Everett, Mykel J. Kochenderfer, Jonathan P. How:
Backward Reachability Analysis of Neural Feedback Loops: Techniques for Linear and Nonlinear Systems. CoRR abs/2209.14076 (2022) - [i106]Jacqueline Ankenbauer, Kaveh Fathian, Jonathan P. How:
View-Invariant Localization using Semantic Objects in Changing Environments. CoRR abs/2209.14426 (2022) - [i105]Xiaoyi Cai, Michael Everett, Lakshay Sharma, Philip R. Osteen, Jonathan P. How:
Probabilistic Traversability Model for Risk-Aware Motion Planning in Off-Road Environments. CoRR abs/2210.00153 (2022) - [i104]Yulun Tian, Jonathan P. How:
Spectral Sparsification for Communication-Efficient Collaborative Rotation and Translation Estimation. CoRR abs/2210.05020 (2022) - [i103]Lakshay Sharma, Michael Everett, Donggun Lee, Xiaoyi Cai, Philip R. Osteen, Jonathan P. How:
RAMP: A Risk-Aware Mapping and Planning Pipeline for Fast Off-Road Ground Robot Navigation. CoRR abs/2210.06605 (2022) - [i102]Nicholas Rober, Michael Everett, Songan Zhang, Jonathan P. How:
A Hybrid Partitioning Strategy for Backward Reachability of Neural Feedback Loops. CoRR abs/2210.07918 (2022) - [i101]Parker C. Lusk, Kaveh Fathian, Jonathan P. How:
MIXER: Multiattribute, Multiway Fusion of Uncertain Pairwise Affinities. CoRR abs/2210.08360 (2022) - [i100]Andrea Tagliabue, Jonathan P. How:
Output Feedback Tube MPC-Guided Data Augmentation for Robust, Efficient Sensorimotor Policy Learning. CoRR abs/2210.10127 (2022) - [i99]Dong-Ki Kim, Matthew Riemer, Miao Liu, Jakob N. Foerster, Gerald Tesauro, Jonathan P. How:
Game-Theoretical Perspectives on Active Equilibria: A Preferred Solution Concept over Nash Equilibria. CoRR abs/2210.16175 (2022) - [i98]Miguel Calvo-Fullana, Jonathan P. How:
Mission-Aware Value of Information Censoring for Distributed Filtering. CoRR abs/2211.11038 (2022) - [i97]Parker C. Lusk, Devarth Parikh, Jonathan P. How:
GraffMatch: Global Matching of 3D Lines and Planes for Wide Baseline LiDAR Registration. CoRR abs/2212.12745 (2022) - 2021
- [j77]Michael Everett, Yu Fan Chen, Jonathan P. How:
Collision Avoidance in Pedestrian-Rich Environments With Deep Reinforcement Learning. IEEE Access 9: 10357-10377 (2021) - [j76]Michael Everett, Golnaz Habibi, Chuangchuang Sun, Jonathan P. How:
Reachability Analysis of Neural Feedback Loops. IEEE Access 9: 163938-163953 (2021) - [j75]Brett Thomas Lopez, Jean-Jacques E. Slotine, Jonathan P. How:
Robust Adaptive Control Barrier Functions: An Adaptive and Data-Driven Approach to Safety. IEEE Control. Syst. Lett. 5(3): 1031-1036 (2021) - [j74]Michael Everett, Golnaz Habibi, Jonathan P. How:
Robustness Analysis of Neural Networks via Efficient Partitioning With Applications in Control Systems. IEEE Control. Syst. Lett. 5(6): 2114-2119 (2021) - [j73]Yulun Tian, Kasra Khosoussi, Jonathan P. How:
A resource-aware approach to collaborative loop-closure detection with provable performance guarantees. Int. J. Robotics Res. 40(10-11) (2021) - [j72]Lena M. Downes, Ted J. Steiner, Jonathan P. How:
Neural Network Approach to Crater Detection for Lunar Terrain Relative Navigation. J. Aerosp. Inf. Syst. 18(7): 391-403 (2021) - [j71]Golnaz Habibi, Jonathan P. How:
Human Trajectory Prediction Using Similarity-Based Multi-Model Fusion. IEEE Robotics Autom. Lett. 6(2): 715-722 (2021) - [j70]Bruno Brito, Michael Everett, Jonathan P. How, Javier Alonso-Mora:
Where to go Next: Learning a Subgoal Recommendation Policy for Navigation in Dynamic Environments. IEEE Robotics Autom. Lett. 6(3): 4616-4623 (2021) - [j69]Yulun Tian, Kasra Khosoussi, David M. Rosen, Jonathan P. How:
Distributed Certifiably Correct Pose-Graph Optimization. IEEE Trans. Robotics 37(6): 2137-2156 (2021) - [c223]Macheng Shen, Jonathan P. How:
Robust Opponent Modeling via Adversarial Ensemble Reinforcement Learning. ICAPS 2021: 578-587 - [c222]Michael Everett, Golnaz Habibi, Jonathan P. How:
Robustness Analysis of Neural Networks via Efficient Partitioning with Applications in Control Systems. ACC 2021: 888-893 - [c221]Max L. Greene, Zachary I. Bell, Scott A. Nivison, Jonathan P. How, Warren E. Dixon:
Cooperative Model-Based Reinforcement Learning for Approximate Optimal Tracking. ACC 2021: 1973-1978 - [c220]Dong-Ki Kim, Miao Liu, Matthew Riemer, Chuangchuang Sun, Marwa Abdulhai, Golnaz Habibi, Sebastian Lopez-Cot, Gerald Tesauro, Jonathan P. How:
A Policy Gradient Algorithm for Learning to Learn in Multiagent Reinforcement Learning. ICML 2021: 5541-5550 - [c219]Qiangqiang Huang, Can Pu, Dehann Fourie, Kasra Khosoussi, Jonathan P. How, John J. Leonard:
NF-iSAM: Incremental Smoothing and Mapping via Normalizing Flows. ICRA 2021: 1095-1102 - [c218]Michael Everett, Golnaz Habibi, Jonathan P. How:
Efficient Reachability Analysis of Closed-Loop Systems with Neural Network Controllers. ICRA 2021: 4384-4390 - [c217]Andrea Tagliabue, Jonathan P. How:
Airflow-Inertial Odometry for Resilient State Estimation on Multirotors. ICRA 2021: 5736-5743 - [c216]Stewart Jamieson, Kaveh Fathian, Kasra Khosoussi, Jonathan P. How, Yogesh A. Girdhar:
Multi-Robot Distributed Semantic Mapping in Unfamiliar Environments through Online Matching of Learned Representations. ICRA 2021: 8587-8593 - [c215]Xiaoyi Cai, Brent Schlotfeldt, Kasra Khosoussi, Nikolay Atanasov, George J. Pappas, Jonathan P. How:
Non-Monotone Energy-Aware Information Gathering for Heterogeneous Robot Teams. ICRA 2021: 8859-8865 - [c214]Chuangchuang Sun, Dong-Ki Kim, Jonathan P. How:
FISAR: Forward Invariant Safe Reinforcement Learning with a Deep Neural Network-Based Optimizer. ICRA 2021: 10617-10624 - [c213]Yun Chang, Yulun Tian, Jonathan P. How, Luca Carlone:
Kimera-Multi: a System for Distributed Multi-Robot Metric-Semantic Simultaneous Localization and Mapping. ICRA 2021: 11210-11218 - [c212]Parker C. Lusk, Kaveh Fathian, Jonathan P. How:
CLIPPER: A Graph-Theoretic Framework for Robust Data Association. ICRA 2021: 13828-13834 - [i96]Michael Everett, Golnaz Habibi, Jonathan P. How:
Efficient Reachability Analysis of Closed-Loop Systems with Neural Network Controllers. CoRR abs/2101.01815 (2021) - [i95]Xiaoyi Cai, Brent Schlotfeldt, Kasra Khosoussi, Nikolay Atanasov, George J. Pappas, Jonathan P. How:
Non-Monotone Energy-Aware Information Gathering for Heterogeneous Robot Teams. CoRR abs/2101.11093 (2021) - [i94]Andrea Tagliabue, Jesus Tordesillas, Xiaoyi Cai, Angel Santamaria-Navarro, Jonathan P. How, Luca Carlone, Ali-akbar Agha-mohammadi:
LION: Lidar-Inertial Observability-Aware Navigator for Vision-Denied Environments. CoRR abs/2102.03443 (2021) - [i93]Bruno Brito, Michael Everett, Jonathan P. How, Javier Alonso-Mora:
Where to go next: Learning a Subgoal Recommendation Policy for Navigation Among Pedestrians. CoRR abs/2102.13073 (2021) - [i92]Jesus Tordesillas, Jonathan P. How:
PANTHER: Perception-Aware Trajectory Planner in Dynamic Environments. CoRR abs/2103.06372 (2021) - [i91]Stewart Jamieson, Kaveh Fathian, Kasra Khosoussi, Jonathan P. How, Yogesh A. Girdhar:
Multi-Robot Distributed Semantic Mapping in Unfamiliar Environments through Online Matching of Learned Representations. CoRR abs/2103.14805 (2021) - [i90]Qiangqiang Huang, Can Pu, Dehann Fourie, Kasra Khosoussi, Jonathan P. How, John J. Leonard:
NF-iSAM: Incremental Smoothing and Mapping via Normalizing Flows. CoRR abs/2105.05045 (2021) - [i89]Andrea Tagliabue, Jonathan P. How:
Airflow-Inertial Odometry for Resilient State Estimation on Multirotors. CoRR abs/2105.13506 (2021) - [i88]Yulun Tian, Yun Chang, Fernando Herrera Arias, Carlos Nieto-Granda, Jonathan P. How, Luca Carlone:
Kimera-Multi: Robust, Distributed, Dense Metric-Semantic SLAM for Multi-Robot Systems. CoRR abs/2106.14386 (2021) - [i87]Michael Everett, Golnaz Habibi, Chuangchuang Sun, Jonathan P. How:
Reachability Analysis of Neural Feedback Loops. CoRR abs/2108.04140 (2021) - [i86]Chuangchuang Sun, Dong-Ki Kim, Jonathan P. How:
ROMAX: Certifiably Robust Deep Multiagent Reinforcement Learning via Convex Relaxation. CoRR abs/2109.06795 (2021) - [i85]Marwa Abdulhai, Dong-Ki Kim, Matthew Riemer, Miao Liu, Gerald Tesauro, Jonathan P. How:
Context-Specific Representation Abstraction for Deep Option Learning. CoRR abs/2109.09876 (2021) - [i84]Andrea Tagliabue, Dong-Ki Kim, Michael Everett, Jonathan P. How:
Demonstration-Efficient Guided Policy Search via Imitation of Robust Tube MPC. CoRR abs/2109.09910 (2021) - [i83]Qiangqiang Huang, Can Pu, Kasra Khosoussi, David M. Rosen, Dehann Fourie, Jonathan P. How, John J. Leonard:
Online Incremental Non-Gaussian Inference for SLAM Using Normalizing Flows. CoRR abs/2110.00876 (2021) - [i82]Parker C. Lusk, Ronak Roy, Kaveh Fathian, Jonathan P. How:
MIXER: A Principled Framework for Multimodal, Multiway Data Association. CoRR abs/2111.14990 (2021) - 2020
- [j68]Dong-Ki Kim, Shayegan Omidshafiei, Jason Pazis, Jonathan P. How:
Crossmodal attentive skill learner: learning in Atari and beyond with audio-video inputs. Auton. Agents Multi Agent Syst. 34(1): 16 (2020) - [j67]Adrian Carrio, Jesus Tordesillas, Sai Vemprala, Srikanth Saripalli, Pascual Campoy, Jonathan P. How:
Onboard Detection and Localization of Drones Using Depth Maps. IEEE Access 8: 30480-30490 (2020) - [j66]Hriday Bavle, Paloma de la Puente, Jonathan P. How, Pascual Campoy:
VPS-SLAM: Visual Planar Semantic SLAM for Aerial Robotic Systems. IEEE Access 8: 60704-60718 (2020) - [j65]Yulun Tian, Katherine Liu, Kyel Ok, Loc D. Tran, Danette Allen, Nicholas Roy, Jonathan P. How:
Search and rescue under the forest canopy using multiple UAVs. Int. J. Robotics Res. 39(10-11) (2020) - [j64]Samaneh Hosseini Semnani, Hugh Liu, Michael Everett, Anton H. J. de Ruiter, Jonathan P. How:
Multi-Agent Motion Planning for Dense and Dynamic Environments via Deep Reinforcement Learning. IEEE Robotics Autom. Lett. 5(2): 3221-3226 (2020) - [j63]Parker C. Lusk, Xiaoyi Cai, Samir Wadhwania, Aleix Paris, Kaveh Fathian, Jonathan P. How:
A Distributed Pipeline for Scalable, Deconflicted Formation Flying. IEEE Robotics Autom. Lett. 5(4): 5213-5220 (2020) - [j62]Yulun Tian, Alec Koppel, Amrit Singh Bedi, Jonathan P. How:
Asynchronous and Parallel Distributed Pose Graph Optimization. IEEE Robotics Autom. Lett. 5(4): 5819-5826 (2020) - [j61]Kaveh Fathian, Kasra Khosoussi, Yulun Tian, Parker C. Lusk, Jonathan P. How:
CLEAR: A Consistent Lifting, Embedding, and Alignment Rectification Algorithm for Multiview Data Association. IEEE Trans. Robotics 36(6): 1686-1703 (2020) - [c211]Lena M. Downes, Ted J. Steiner, Jonathan P. How:
Lunar Terrain Relative Navigation Using a Convolutional Neural Network for Visual Crater Detection. ACC 2020: 4448-4453 - [c210]Dong-Ki Kim, Miao Liu, Shayegan Omidshafiei, Sebastian Lopez-Cot, Matthew Riemer, Golnaz Habibi, Gerald Tesauro, Sami Mourad, Murray Campbell, Jonathan P. How:
Learning Hierarchical Teaching Policies for Cooperative Agents. AAMAS 2020: 620-628 - [c209]Golnaz Habibi, Nikita Jaipuria, Jonathan P. How:
SILA: An Incremental Learning Approach for Pedestrian Trajectory Prediction. CVPR Workshops 2020: 4411-4421 - [c208]Stewart Jamieson, Jonathan P. How, Yogesh A. Girdhar:
Active Reward Learning for Co-Robotic Vision Based Exploration in Bandwidth Limited Environments. ICRA 2020: 1806-1812 - [c207]Arpan Kusari, Jonathan P. How:
Predicting optimal value functions by interpolating reward functions in scalarized multi-objective reinforcement learning. ICRA 2020: 7484-7490 - [c206]Aleix Paris, Brett Thomas Lopez, Jonathan P. How:
Dynamic Landing of an Autonomous Quadrotor on a Moving Platform in Turbulent Wind Conditions. ICRA 2020: 9577-9583 - [c205]Suhan Kim, Regan Kubicek, Aleix Paris, Andrea Tagliabue, Jonathan P. How, Sarah Bergbreiter:
A Whisker-inspired Fin Sensor for Multi-directional Airflow Sensing. IROS 2020: 1330-1337 - [c204]Andrea Tagliabue, Aleix Paris, Suhan Kim, Regan Kubicek, Sarah Bergbreiter, Jonathan P. How:
Touch the Wind: Simultaneous Airflow, Drag and Interaction Sensing on a Multirotor. IROS 2020: 1645-1652 - [c203]Chuangchuang Sun, Macheng Shen, Jonathan P. How:
Scaling Up Multiagent Reinforcement Learning for Robotic Systems: Learn an Adaptive Sparse Communication Graph. IROS 2020: 11755-11762 - [c202]Andrea Tagliabue, Jesus Tordesillas, Xiaoyi Cai, Angel Santamaria-Navarro, Jonathan P. How, Luca Carlone, Ali-akbar Agha-mohammadi:
LION: Lidar-Inertial Observability-Aware Navigator for Vision-Denied Environments. ISER 2020: 380-390 - [c201]Kristoffer M. Frey, Ted J. Steiner, Jonathan P. How:
Collision Probabilities for Continuous-Time Systems Without Sampling. Robotics: Science and Systems 2020 - [i81]Jesus Tordesillas, Brett Thomas Lopez, Michael Everett, Jonathan P. How:
FASTER: Fast and Safe Trajectory Planner for Flights in Unknown Environments. CoRR abs/2001.04420 (2020) - [i80]Samaneh Hosseini Semnani, Hugh Liu, Michael Everett, Anton H. J. de Ruiter, Jonathan P. How:
Multi-agent Motion Planning for Dense and Dynamic Environments via Deep Reinforcement Learning. CoRR abs/2001.06627 (2020) - [i79]Rose E. Wang, Michael Everett, Jonathan P. How:
R-MADDPG for Partially Observable Environments and Limited Communication. CoRR abs/2002.06684 (2020) - [i78]Chuangchuang Sun, Macheng Shen, Jonathan P. How:
Scaling Up Multiagent Reinforcement Learning for Robotic Systems: Learn an Adaptive Sparse Communication Graph. CoRR abs/2003.01040 (2020) - [i77]Parker C. Lusk, Xiaoyi Cai, Samir Wadhwania, Aleix Paris, Kaveh Fathian, Jonathan P. How:
A Distributed Pipeline for Scalable, Deconflicted Formation Flying. CoRR abs/2003.01851 (2020) - [i76]Andrea Tagliabue, Aleix Paris, Suhan Kim, Regan Kubicek, Sarah Bergbreiter, Jonathan P. How:
Touch the Wind: Simultaneous Airflow, Drag and Interaction Sensing on a Multirotor. CoRR abs/2003.02305 (2020) - [i75]Yulun Tian, Alec Koppel, Amrit Singh Bedi, Jonathan P. How:
Asynchronous and Parallel Distributed Pose Graph Optimization. CoRR abs/2003.03281 (2020) - [i74]Stewart Jamieson, Jonathan P. How, Yogesh A. Girdhar:
Active Reward Learning for Co-Robotic Vision Based Exploration in Bandwidth Limited Environments. CoRR abs/2003.05016 (2020) - [i73]Brett Thomas Lopez, Jean-Jacques E. Slotine, Jonathan P. How:
Adaptive Safety for Uncertain Nonlinear Systems with Control Barrier Functions and Contraction Metrics. CoRR abs/2003.10028 (2020) - [i72]Michael Everett, Björn Lütjens, Jonathan P. How:
Certified Adversarial Robustness for Deep Reinforcement Learning. CoRR abs/2004.06496 (2020) - [i71]Kristoffer M. Frey, Ted J. Steiner, Jonathan P. How:
Collision Probabilities for Continuous-Time Systems Without Sampling [with Appendices]. CoRR abs/2006.01109 (2020) - [i70]Chuangchuang Sun, Dong-Ki Kim, Jonathan P. How:
Set-Invariant Constrained Reinforcement Learning with a Meta-Optimizer. CoRR abs/2006.11419 (2020) - [i69]Lena M. Downes, Ted J. Steiner, Jonathan P. How:
Lunar Terrain Relative Navigation Using a Convolutional Neural Network for Visual Crater Detection. CoRR abs/2007.07702 (2020) - [i68]Michael Everett, Golnaz Habibi, Jonathan P. How:
Robustness Analysis of Neural Networks via Efficient Partitioning: Theory and Applications in Control Systems. CoRR abs/2010.00540 (2020) - [i67]Jesus Tordesillas, Jonathan P. How:
MINVO Basis: Finding Simplexes with Minimum Volume Enclosing Polynomial Curves. CoRR abs/2010.10726 (2020) - [i66]Jesus Tordesillas, Jonathan P. How:
MADER: Trajectory Planner in Multi-Agent and Dynamic Environments. CoRR abs/2010.11061 (2020) - [i65]Dong-Ki Kim, Miao Liu, Matthew Riemer, Chuangchuang Sun, Marwa Abdulhai, Golnaz Habibi, Sebastian Lopez-Cot, Gerald Tesauro, Jonathan P. How:
A Policy Gradient Algorithm for Learning to Learn in Multiagent Reinforcement Learning. CoRR abs/2011.00382 (2020) - [i64]Yun Chang, Yulun Tian, Jonathan P. How, Luca Carlone:
Kimera-Multi: a System for Distributed Multi-Robot Metric-Semantic Simultaneous Localization and Mapping. CoRR abs/2011.04087 (2020) - [i63]Parker C. Lusk, Kaveh Fathian, Jonathan P. How:
CLIPPER: A Graph-Theoretic Framework for Robust Data Association. CoRR abs/2011.10202 (2020) - [i62]Savva Morozov, Parker C. Lusk, Brett Thomas Lopez, Jonathan P. How:
Performance Analysis of Adaptive Dynamic Tube MPC. CoRR abs/2012.12403 (2020)
2010 – 2019
- 2019
- [j60]Kasra Khosoussi, Matthew Giamou, Gaurav S. Sukhatme, Shoudong Huang, Gamini Dissanayake, Jonathan P. How:
Reliable Graphs for SLAM. Int. J. Robotics Res. 38(2-3) (2019) - [j59]Christopher Amato, George Dimitri Konidaris, Leslie Pack Kaelbling, Jonathan P. How:
Modeling and Planning with Macro-Actions in Decentralized POMDPs. J. Artif. Intell. Res. 64: 817-859 (2019) - [j58]Trevor Campbell, Brian Kulis, Jonathan P. How:
Dynamic Clustering Algorithms via Small-Variance Analysis of Markov Chain Mixture Models. IEEE Trans. Pattern Anal. Mach. Intell. 41(6): 1338-1352 (2019) - [j57]Lee E. Clement, Valentin Peretroukhin, Matthew Giamou, John J. Leonard, Hadas Kress-Gazit, Jonathan P. How, Michael Milford, Oliver Brock, Ryan Gariepy, Nicholas Roy, Hallie Siegel, Ludovic Righetti, Aude Billard, Jonathan Kelly:
Where Do We Go From Here? Debates on the Future of Robotics Research at ICRA 2019 [From the Field]. IEEE Robotics Autom. Mag. 26(3): 7-10 (2019) - [j56]Alejandro Rodriguez-Ramos, Adrian Alvarez-Fernandez, Hriday Bavle, Pascual Campoy, Jonathan P. How:
Vision-Based Multirotor Following Using Synthetic Learning Techniques. Sensors 19(21): 4794 (2019) - [j55]Hongchuan Wei, Pingping Zhu, Miao Liu, Jonathan P. How, Silvia Ferrari:
Automatic Pan-Tilt Camera Control for Learning Dirichlet Process Gaussian Process (DPGP) Mixture Models of Multiple Moving Targets. IEEE Trans. Autom. Control. 64(1): 159-173 (2019) - [c200]Shayegan Omidshafiei, Dong-Ki Kim, Miao Liu, Gerald Tesauro, Matthew Riemer, Christopher Amato, Murray Campbell, Jonathan P. How:
Learning to Teach in Cooperative Multiagent Reinforcement Learning. AAAI 2019: 6128-6136 - [c199]Trong Nghia Hoang, Quang Minh Hoang, Kian Hsiang Low, Jonathan P. How:
Collective Online Learning of Gaussian Processes in Massive Multi-Agent Systems. AAAI 2019: 7850-7857 - [c198]Brett Thomas Lopez, Jonathan P. How, Jean-Jacques E. Slotine:
Dynamic Tube MPC for Nonlinear Systems. ACC 2019: 1655-1662 - [c197]Björn Lütjens, Michael Everett, Jonathan P. How:
Certified Adversarial Robustness for Deep Reinforcement Learning. CoRL 2019: 1328-1337 - [c196]Kyel Ok, Katherine Liu, Kristoffer M. Frey, Jonathan P. How, Nicholas Roy:
Robust Object-based SLAM for High-speed Autonomous Navigation. ICRA 2019: 669-675 - [c195]Jesus Tordesillas, Brett Thomas Lopez, John Carter, John Ware, Jonathan P. How:
Real-Time Planning with Multi-Fidelity Models for Agile Flights in Unknown Environments. ICRA 2019: 725-731 - [c194]Kristoffer M. Frey, Ted J. Steiner, Jonathan P. How:
Efficient Constellation-Based Map-Merging for Semantic SLAM. ICRA 2019: 1302-1308 - [c193]Macheng Shen, Jonathan P. How:
Active Perception in Adversarial Scenarios using Maximum Entropy Deep Reinforcement Learning. ICRA 2019: 3384-3390 - [c192]Björn Lütjens, Michael Everett, Jonathan P. How:
Safe Reinforcement Learning With Model Uncertainty Estimates. ICRA 2019: 8662-8668 - [c191]Michael Everett, Justin Miller, Jonathan P. How:
Planning Beyond The Sensing Horizon Using a Learned Context. IROS 2019: 1064-1071 - [c190]Jesus Tordesillas, Brett Thomas Lopez, Jonathan P. How:
FASTER: Fast and Safe Trajectory Planner for Flights in Unknown Environments. IROS 2019: 1934-1940 - [c189]Samir Wadhwania, Dong-Ki Kim, Shayegan Omidshafiei, Jonathan P. How:
Policy Distillation and Value Matching in Multiagent Reinforcement Learning. IROS 2019: 8193-8200 - [i61]Yulun Tian, Kasra Khosoussi, Jonathan P. How:
Resource-Aware Algorithms for Distributed Loop Closure Detection with Provable Performance Guarantees. CoRR abs/1901.05925 (2019) - [i60]Kaveh Fathian, Kasra Khosoussi, Parker C. Lusk, Yulun Tian, Jonathan P. How:
CLEAR: A Consistent Lifting, Embedding, and Alignment Rectification Algorithm for Multi-Agent Data Association. CoRR abs/1902.02256 (2019) - [i59]Macheng Shen, Jonathan P. How:
Active Perception in Adversarial Scenarios using Maximum Entropy Deep Reinforcement Learning. CoRR abs/1902.05644 (2019) - [i58]Yulun Tian, Kasra Khosoussi, Jonathan P. How:
Block-Coordinate Minimization for Large SDPs with Block-Diagonal Constraints. CoRR abs/1903.00597 (2019) - [i57]Dong-Ki Kim, Miao Liu, Shayegan Omidshafiei, Sebastian Lopez-Cot, Matthew Riemer, Golnaz Habibi, Gerald Tesauro, Sami Mourad, Murray Campbell, Jonathan P. How:
Learning Hierarchical Teaching in Cooperative Multiagent Reinforcement Learning. CoRR abs/1903.03216 (2019) - [i56]Jesus Tordesillas, Brett Thomas Lopez, Jonathan P. How:
FaSTraP: Fast and Safe Trajectory Planner for Flights in Unknown Environments. CoRR abs/1903.03558 (2019) - [i55]Samir Wadhwania, Dong-Ki Kim, Shayegan Omidshafiei, Jonathan P. How:
Policy Distillation and Value Matching in Multiagent Reinforcement Learning. CoRR abs/1903.06592 (2019) - [i54]Yulun Tian, Kasra Khosoussi, Jonathan P. How:
A Resource-Aware Approach to Collaborative Loop Closure Detection with Provable Performance Guarantees. CoRR abs/1907.04904 (2019) - [i53]Brett Thomas Lopez, Jean-Jacques E. Slotine, Jonathan P. How:
Dynamic Tube MPC for Nonlinear Systems. CoRR abs/1907.06553 (2019) - [i52]Kristoffer M. Frey, Ted J. Steiner, Jonathan P. How:
Towards Online Observability-Aware Trajectory Optimization for Landmark-based Estimators. CoRR abs/1908.03790 (2019) - [i51]Michael Everett, Justin Miller, Jonathan P. How:
Planning Beyond the Sensing Horizon Using a Learned Context. CoRR abs/1908.09171 (2019) - [i50]Yulun Tian, Katherine Liu, Kyel Ok, Loc D. Tran, Danette Allen, Nicholas Roy, Jonathan P. How:
Search and Rescue under the Forest Canopy using Multiple UAVs. CoRR abs/1908.10541 (2019) - [i49]Arpan Kusari, Jonathan P. How:
Predicting optimal value functions by interpolating reward functions in scalarized multi-objective reinforcement learning. CoRR abs/1909.05004 (2019) - [i48]Macheng Shen, Jonathan P. How:
Robust Opponent Modeling via Adversarial Ensemble Reinforcement Learning in Asymmetric Imperfect-Information Games. CoRR abs/1909.08735 (2019) - [i47]Aleix Paris, Brett Thomas Lopez, Jonathan P. How:
Dynamic Landing of an Autonomous Quadrotor on a Moving Platform in Turbulent Wind Conditions. CoRR abs/1909.11071 (2019) - [i46]Michael Everett, Yu Fan Chen, Jonathan P. How:
Collision Avoidance in Pedestrian-Rich Environments with Deep Reinforcement Learning. CoRR abs/1910.11689 (2019) - [i45]Björn Lütjens, Michael Everett, Jonathan P. How:
Certified Adversarial Robustness for Deep Reinforcement Learning. CoRR abs/1910.12908 (2019) - [i44]Yulun Tian, Kasra Khosoussi, Jonathan P. How:
Block-Coordinate Descent on the Riemannian Staircase for Certifiably Correct Distributed Rotation and Pose Synchronization. CoRR abs/1911.03721 (2019) - [i43]Golnaz Habibi, Nikita Jaipuria, Jonathan P. How:
Incremental Learning of Motion Primitives for Pedestrian Trajectory Prediction at Intersections. CoRR abs/1911.09476 (2019) - 2018
- [j54]Heba A. Kurdi, Ebtesam Aloboud, Maram Alalwan, Sarah Alhassan, Ebtehal T. Alotaibi, Guillermo Bautista, Jonathan P. How:
Autonomous task allocation for multi-UAV systems based on the locust elastic behavior. Appl. Soft Comput. 71: 110-126 (2018) - [c188]John F. Quindlen, Ufuk Topcu, Girish Chowdhary, Jonathan P. How:
Closed-Loop Statistical Verification of Stochastic Nonlinear Systems Subject to Parametric Uncertainties. ACC 2018: 5460-5466 - [c187]John F. Quindlen, Ufuk Topcu, Girish Chowdhary, Jonathan P. How:
Active Sampling for Closed-Loop Statistical Verification of Uncertain Nonlinear Systems. ACC 2018: 6259-6265 - [c186]Shayegan Omidshafiei, Dong-Ki Kim, Jason Pazis, Jonathan P. How:
Crossmodal Attentive Skill Learner. AAMAS 2018: 139-146 - [c185]Brett Thomas Lopez, Jean-Jacques E. Slotine, Jonathan P. How:
Robust Powered Descent with Control Contraction Metrics. CDC 2018: 3483-3490 - [c184]Erin Evans, Stephen Thrasher, Jonathan P. How:
Reference Drag Update Scheme in Shuttle Entry Guidance Using Range Allocator for Tight Constraints. ECC 2018: 362-367 - [c183]Matthew Giamou, Kasra Khosoussi, Jonathan P. How:
Talk Resource-Efficiently to Me: Optimal Communication Planning for Distributed Loop Closure Detection. ICRA 2018: 1-9 - [c182]Brett Thomas Lopez, Jean-Jacques E. Slotine, Jonathan P. How:
Robust Collision Avoidance via Sliding Control. ICRA 2018: 2962-2969 - [c181]Trong Nghia Hoang, Yuchen Xiao, Kavinayan Sivakumar, Christopher Amato, Jonathan P. How:
Near-Optimal Adversarial Policy Switching for Decentralized Asynchronous Multi-Agent Systems. ICRA 2018: 6373-6380 - [c180]Kristoffer M. Frey, Ted J. Steiner, Jonathan P. How:
Complexity Analysis and Efficient Measurement Selection Primitives for High-Rate Graph SLAM. ICRA 2018: 6505-6512 - [c179]Michael Everett, Yu Fan Chen, Jonathan P. How:
Motion Planning Among Dynamic, Decision-Making Agents with Deep Reinforcement Learning. IROS 2018: 3052-3059 - [c178]Macheng Shen, Golnaz Habibi, Jonathan P. How:
Transferable Pedestrian Motion Prediction Models at Intersections. IROS 2018: 4547-4553 - [c177]Yulun Tian, Katherine Liu, Kyel Ok, Loc D. Tran, Danette Allen, Nicholas Roy, Jonathan P. How:
Search and Rescue Under the Forest Canopy Using Multiple UAS. ISER 2018: 140-152 - [c176]Nikita Jaipuria, Golnaz Habibi, Jonathan P. How:
Learning in the Curbside Coordinate Frame for a Transferable Pedestrian Trajectory Prediction Model. ITSC 2018: 3125-3131 - [c175]Yulun Tian, Kasra Khosoussi, Matthew Giamou, Jonathan P. How, Jonathan Kelly:
Near-Optimal Budgeted Data Exchange for Distributed Loop Closure Detection. Robotics: Science and Systems 2018 - [c174]Yulun Tian, Kasra Khosoussi, Jonathan P. How:
Resource-Aware Algorithms for Distributed Loop Closure Detection with Provable Performance Guarantees. WAFR 2018: 422-438 - [i42]Macheng Shen, Golnaz Habibi, Jonathan P. How:
Transferable Pedestrian Motion Prediction Models at Intersections. CoRR abs/1804.00495 (2018) - [i41]Michael Everett, Yu Fan Chen, Jonathan P. How:
Motion Planning Among Dynamic, Decision-Making Agents with Deep Reinforcement Learning. CoRR abs/1805.01956 (2018) - [i40]Shayegan Omidshafiei, Dong-Ki Kim, Miao Liu, Gerald Tesauro, Matthew Riemer, Christopher Amato, Murray Campbell, Jonathan P. How:
Learning to Teach in Cooperative Multiagent Reinforcement Learning. CoRR abs/1805.07830 (2018) - [i39]Trong Nghia Hoang, Quang Minh Hoang, Kian Hsiang Low, Jonathan P. How:
Collective Online Learning via Decentralized Gaussian Processes in Massive Multi-Agent Systems. CoRR abs/1805.09266 (2018) - [i38]Yulun Tian, Kasra Khosoussi, Matthew Giamou, Jonathan P. How, Jonathan Kelly:
Near-Optimal Budgeted Data Exchange for Distributed Loop Closure Detection. CoRR abs/1806.00188 (2018) - [i37]Noam Buckman, Han-Lim Choi, Jonathan P. How:
Partial Replanning for Decentralized Dynamic Task Allocation. CoRR abs/1806.04836 (2018) - [i36]Nikita Jaipuria, Golnaz Habibi, Jonathan P. How:
A Transferable Pedestrian Motion Prediction Model for Intersections with Different Geometries. CoRR abs/1806.09444 (2018) - [i35]Golnaz Habibi, Nikita Jaipuria, Jonathan P. How:
Context-Aware Pedestrian Motion Prediction In Urban Intersections. CoRR abs/1806.09453 (2018) - [i34]Kristoffer M. Frey, Ted J. Steiner, Jonathan P. How:
Efficient Constellation-Based Map-Merging for Semantic SLAM. CoRR abs/1809.09646 (2018) - [i33]Jesus Tordesillas, Brett Thomas Lopez, John Carter, John Ware, Jonathan P. How:
Real-Time Planning with Multi-Fidelity Models for Agile Flights in Unknown Environments. CoRR abs/1810.01035 (2018) - [i32]Björn Lütjens, Michael Everett, Jonathan P. How:
Safe Reinforcement Learning with Model Uncertainty Estimates. CoRR abs/1810.08700 (2018) - 2017
- [j53]Shayegan Omidshafiei, Ali-Akbar Agha-Mohammadi, Christopher Amato, Shih-Yuan Liu, Jonathan P. How, John Vian:
Decentralized control of multi-robot partially observable Markov decision processes using belief space macro-actions. Int. J. Robotics Res. 36(2): 231-258 (2017) - [j52]Luke B. Johnson, Han-Lim Choi, Sameera S. Ponda, Jonathan P. How:
Decentralized Task Allocation Using Local Information Consistency Assumptions. J. Aerosp. Inf. Syst. 14(2): 103-122 (2017) - [j51]Robert C. Grande, Thomas J. Walsh, Girish Chowdhary, Sarah Ferguson, Jonathan P. How:
Online Regression for Data With Changepoints Using Gaussian Processes and Reusable Models. IEEE Trans. Neural Networks Learn. Syst. 28(9): 2115-2128 (2017) - [j50]Beipeng Mu, Liam Paull, Ali-Akbar Agha-Mohammadi, John J. Leonard, Jonathan P. How:
Two-Stage Focused Inference for Resource-Constrained Minimal Collision Navigation. IEEE Trans. Robotics 33(1): 124-140 (2017) - [c173]Taposh Banerjee, Miao Liu, Jonathan P. How:
Quickest change detection approach to optimal control in Markov decision processes with model changes. ACC 2017: 399-405 - [c172]Julian Straub, Trevor Campbell, Jonathan P. How, John W. Fisher III:
Efficient Global Point Cloud Alignment Using Bayesian Nonparametric Mixtures. CVPR 2017: 2403-2412 - [c171]Shayegan Omidshafiei, Jason Pazis, Christopher Amato, Jonathan P. How, John Vian:
Deep Decentralized Multi-task Multi-Agent Reinforcement Learning under Partial Observability. ICML 2017: 2681-2690 - [c170]Yu Fan Chen, Miao Liu, Michael Everett, Jonathan P. How:
Decentralized non-communicating multiagent collision avoidance with deep reinforcement learning. ICRA 2017: 285-292 - [c169]Shayegan Omidshafiei, Christopher Amato, Miao Liu, Michael Everett, Jonathan P. How, John Vian:
Scalable accelerated decentralized multi-robot policy search in continuous observation spaces. ICRA 2017: 863-870 - [c168]Shayegan Omidshafiei, Shih-Yuan Liu, Michael Everett, Brett Thomas Lopez, Christopher Amato, Miao Liu, Jonathan P. How, John Vian:
Semantic-level decentralized multi-robot decision-making using probabilistic macro-observations. ICRA 2017: 871-878 - [c167]Justin Miller, Jonathan P. How:
Predictive positioning and quality of service ridesharing for campus mobility on demand systems. ICRA 2017: 1402-1408 - [c166]Liam Paull, Jacopo Tani, Heejin Ahn, Javier Alonso-Mora, Luca Carlone, Michal Cáp, Yu Fan Chen, Changhyun Choi, Jeff Dusek, Yajun Fang, Daniel Hoehener, Shih-Yuan Liu, Michael Novitzky, Igor Franzoni Okuyama, Jason Pazis, Guy Rosman, Valerio Varricchio, Hsueh-Cheng Wang, Dmitry S. Yershov, Hang Zhao, Michael Benjamin, Christopher Carr, Maria T. Zuber, Sertac Karaman, Emilio Frazzoli, Domitilla Del Vecchio, Daniela Rus, Jonathan P. How, John J. Leonard, Andrea Censi:
Duckietown: An open, inexpensive and flexible platform for autonomy education and research. ICRA 2017: 1497-1504 - [c165]Brett Thomas Lopez, Jonathan P. How:
Aggressive 3-D collision avoidance for high-speed navigation. ICRA 2017: 5759-5765 - [c164]Yu Fan Chen, Michael Everett, Miao Liu, Jonathan P. How:
Socially aware motion planning with deep reinforcement learning. IROS 2017: 1343-1350 - [c163]Brett Thomas Lopez, Jonathan P. How:
Aggressive collision avoidance with limited field-of-view sensing. IROS 2017: 1358-1365 - [c162]Miao Liu, Kavinayan Sivakumar, Shayegan Omidshafiei, Christopher Amato, Jonathan P. How:
Learning for multi-robot cooperation in partially observable stochastic environments with macro-actions. IROS 2017: 1853-1860 - [c161]Matthew Giamou, Yaroslav Babich, Golnaz Habibi, Jonathan P. How:
Stable laser interest point selection for place recognition in a forest. IROS 2017: 4290-4297 - [c160]Justin Miller, Jonathan P. How:
Demand estimation and chance-constrained fleet management for ride hailing. IROS 2017: 4481-4488 - [c159]Jonathan P. How:
Planning and Learning under Uncertainty: Theory and Practice. KDD 2017: 19 - [i31]Justin Miller, Jonathan P. How:
Demand Estimation and Chance-Constrained Fleet Management for Ride Hailing. CoRR abs/1703.02130 (2017) - [i30]Justin Miller, Andres Hasfura, Shih-Yuan Liu, Jonathan P. How:
Dynamic Arrival Rate Estimation for Campus Mobility on Demand Network Graphs. CoRR abs/1703.02145 (2017) - [i29]Shayegan Omidshafiei, Shih-Yuan Liu, Michael Everett, Brett Thomas Lopez, Christopher Amato, Miao Liu, Jonathan P. How, John Vian:
Semantic-level Decentralized Multi-Robot Decision-Making using Probabilistic Macro-Observations. CoRR abs/1703.05623 (2017) - [i28]Shayegan Omidshafiei, Christopher Amato, Miao Liu, Michael Everett, Jonathan P. How, John Vian:
Scalable Accelerated Decentralized Multi-Robot Policy Search in Continuous Observation Spaces. CoRR abs/1703.05626 (2017) - [i27]Shayegan Omidshafiei, Jason Pazis, Christopher Amato, Jonathan P. How, John Vian:
Deep Decentralized Multi-task Multi-Agent Reinforcement Learning under Partial Observability. CoRR abs/1703.06182 (2017) - [i26]Yu Fan Chen, Michael Everett, Miao Liu, Jonathan P. How:
Socially Aware Motion Planning with Deep Reinforcement Learning. CoRR abs/1703.08862 (2017) - [i25]Beipeng Mu, Shih-Yuan Liu, Liam Paull, John J. Leonard, Jonathan P. How:
SLAM with Objects using a Nonparametric Pose Graph. CoRR abs/1704.05959 (2017) - [i24]John F. Quindlen, Ufuk Topcu, Girish Chowdhary, Jonathan P. How:
Active Sampling for Constrained Simulation-based Verification of Uncertain Nonlinear Systems. CoRR abs/1705.01471 (2017) - [i23]John F. Quindlen, Ufuk Topcu, Girish Chowdhary, Jonathan P. How:
Active Sampling-based Binary Verification of Dynamical Systems. CoRR abs/1706.04268 (2017) - [i22]Miao Liu, Kavinayan Sivakumar, Shayegan Omidshafiei, Christopher Amato, Jonathan P. How:
Learning for Multi-robot Cooperation in Partially Observable Stochastic Environments with Macro-actions. CoRR abs/1707.07399 (2017) - [i21]John F. Quindlen, Ufuk Topcu, Girish Chowdhary, Jonathan P. How:
Closed-Loop Statistical Verification of Stochastic Nonlinear Systems Subject to Parametric Uncertainties. CoRR abs/1709.06645 (2017) - [i20]Matthew Giamou, Kasra Khosoussi, Jonathan P. How:
Talk Resource-Efficiently to Me: Optimal Communication Planning for Distributed SLAM Front-Ends. CoRR abs/1709.06675 (2017) - [i19]Kristoffer M. Frey, Ted J. Steiner, Jonathan P. How:
Complexity Analysis and Efficient Measurement Selection Primitives for High-Rate Graph SLAM. CoRR abs/1709.06821 (2017) - [i18]Trong Nghia Hoang, Yuchen Xiao, Kavinayan Sivakumar, Christopher Amato, Jonathan P. How:
Near-Optimal Adversarial Policy Switching for Decentralized Asynchronous Multi-Agent Systems. CoRR abs/1710.06525 (2017) - [i17]Shayegan Omidshafiei, Dong-Ki Kim, Jason Pazis, Jonathan P. How:
Crossmodal Attentive Skill Learner. CoRR abs/1711.10314 (2017) - 2016
- [j49]Hongchuan Wei, Wenjie Lu, Pingping Zhu, Silvia Ferrari, Miao Liu, Robert H. Klein, Shayegan Omidshafiei, Jonathan P. How:
Information value in nonparametric Dirichlet-process Gaussian-process (DPGP) mixture models. Autom. 74: 360-368 (2016) - [j48]Christopher Amato, George Dimitri Konidaris, Ariel Anders, Gabriel Cruz, Jonathan P. How, Leslie Pack Kaelbling:
Policy search for multi-robot coordination under uncertainty. Int. J. Robotics Res. 35(14): 1760-1778 (2016) - [c158]Miao Liu, Christopher Amato, Emily P. Anesta, John Daniel Griffith, Jonathan P. How:
Learning for Decentralized Control of Multiagent Systems in Large, Partially-Observable Stochastic Environments. AAAI 2016: 2523-2529 - [c157]John F. Quindlen, Ufuk Topcu, Girish Chowdhary, Jonathan P. How:
Region-of-convergence estimation for learning-based adaptive controllers. ACC 2016: 2500-2505 - [c156]Christopher J. Shannon, Luke B. Johnson, Kimberly F. Jackson, Jonathan P. How:
Adaptive mission planning for coupled human-robot teams. ACC 2016: 6164-6169 - [c155]Beipeng Mu, Matthew Giamou, Liam Paull, Ali-akbar Agha-mohammadi, John J. Leonard, Jonathan P. How:
Information-based Active SLAM via topological feature graphs. CDC 2016: 5583-5590 - [c154]Jacopo Tani, Liam Paull, Maria T. Zuber, Daniela Rus, Jonathan P. How, John J. Leonard, Andrea Censi:
Duckietown: An Innovative Way to Teach Autonomy. EDUROBOTICS 2016: 104-121 - [c153]Alexandar Kozarev, John F. Quindlen, Jonathan P. How, Ufuk Topcu:
Case Studies in Data-Driven Verification of Dynamical Systems. HSCC 2016: 81-86 - [c152]Yu Fan Chen, Miao Liu, Jonathan P. How:
Augmented dictionary learning for motion prediction. ICRA 2016: 2527-2534 - [c151]Shayegan Omidshafiei, Ali-akbar Agha-mohammadi, Christopher Amato, Shih-Yuan Liu, Jonathan P. How, John Vian:
Graph-based Cross Entropy method for solving multi-robot decentralized POMDPs. ICRA 2016: 5395-5402 - [c150]Mark Cutler, Jonathan P. How:
Autonomous drifting using simulation-aided reinforcement learning. ICRA 2016: 5442-5448 - [c149]Yu Fan Chen, Shih-Yuan Liu, Miao Liu, Justin Miller, Jonathan P. How:
Motion planning with diffusion maps. IROS 2016: 1423-1430 - [c148]Justin Miller, Andres Hasfura, Shih-Yuan Liu, Jonathan P. How:
Dynamic arrival rate estimation for campus Mobility On Demand network graphs. IROS 2016: 2285-2292 - [c147]Beipeng Mu, Shih-Yuan Liu, Liam Paull, John J. Leonard, Jonathan P. How:
SLAM with objects using a nonparametric pose graph. IROS 2016: 4602-4609 - [c146]Jason Pazis, Ronald Parr, Jonathan P. How:
Improving PAC Exploration Using the Median Of Means. NIPS 2016: 3891-3899 - [i16]Julian Straub, Trevor Campbell, Jonathan P. How, John W. Fisher III:
Efficient Globally Optimal Point Cloud Alignment using Bayesian Nonparametric Mixtures. CoRR abs/1603.04868 (2016) - [i15]Shayegan Omidshafiei, Brett Thomas Lopez, Jonathan P. How, John Vian:
Hierarchical Bayesian Noise Inference for Robust Real-time Probabilistic Object Classification. CoRR abs/1605.01042 (2016) - [i14]Julian Straub, Trevor Campbell, Jonathan P. How, John W. Fisher III:
Small-Variance Nonparametric Clustering on the Hypersphere. CoRR abs/1607.06407 (2016) - [i13]Taposh Banerjee, Miao Liu, Jonathan P. How:
Quickest Change Detection Approach to Optimal Control in Markov Decision Processes with Model Changes. CoRR abs/1609.06757 (2016) - [i12]Yu Fan Chen, Miao Liu, Michael Everett, Jonathan P. How:
Decentralized Non-communicating Multiagent Collision Avoidance with Deep Reinforcement Learning. CoRR abs/1609.07845 (2016) - [i11]Justin Miller, Jonathan P. How:
Predictive Positioning and Quality Of Service Ridesharing for Campus Mobility On Demand Systems. CoRR abs/1609.08116 (2016) - 2015
- [j47]Matthew R. Walter, Matthew E. Antone, Ekapol Chuangsuwanich, Andrew Correa, Randall Davis, Luke Fletcher, Emilio Frazzoli, Yuli Friedman, James R. Glass, Jonathan P. How, Jeong hwan Jeon, Sertac Karaman, Brandon Luders, Nicholas Roy, Stefanie Tellex, Seth J. Teller:
A Situationally Aware Voice-commandable Robotic Forklift Working Alongside People in Unstructured Outdoor Environments. J. Field Robotics 32(4): 590-628 (2015) - [j46]Alborz Geramifard, Christoph Dann, Robert H. Klein, William Dabney, Jonathan P. How:
RLPy: a value-function-based reinforcement learning framework for education and research. J. Mach. Learn. Res. 16: 1573-1578 (2015) - [j45]Girish Chowdhary, Hassan A. Kingravi, Jonathan P. How, Patricio A. Vela:
Bayesian Nonparametric Adaptive Control Using Gaussian Processes. IEEE Trans. Neural Networks Learn. Syst. 26(3): 537-550 (2015) - [j44]Bernard Michini, Thomas J. Walsh, Ali-akbar Agha-mohammadi, Jonathan P. How:
Bayesian Nonparametric Reward Learning From Demonstration. IEEE Trans. Robotics 31(2): 369-386 (2015) - [j43]Mark Cutler, Thomas J. Walsh, Jonathan P. How:
Real-World Reinforcement Learning via Multifidelity Simulators. IEEE Trans. Robotics 31(3): 655-671 (2015) - [j42]Gregory E. Newstadt, Beipeng Mu, Dennis L. Wei, Jonathan P. How, Alfred O. Hero III:
Importance-Weighted Adaptive Search for Multi-Class Targets. IEEE Trans. Signal Process. 63(23): 6299-6314 (2015) - [j41]N. Kemal Ure, Girish Chowdhary, Jonathan P. How, John Vian:
Health Aware Planning Under Uncertainty for Collaborating Heterogeneous Teams of Mobile Agents. Unmanned Syst. 3(2): 89-107 (2015) - [c145]Christopher Amato, George Dimitri Konidaris, Shayegan Omidshafiei, Ali-akbar Agha-mohammadi, Jonathan P. How, Leslie Pack Kaelbling:
Probabilistic Planning for Decentralized Multi-Robot Systems. AAAI Fall Symposia 2015: 10-12 - [c144]John F. Quindlen, Girish Chowdhary, Jonathan P. How:
Hybrid model reference adaptive control for unmatched uncertainties. ACC 2015: 1125-1130 - [c143]Trevor Campbell, Jonathan P. How:
Bayesian nonparametric set construction for robust optimization. ACC 2015: 4216-4221 - [c142]N. Kemal Ure, Jonathan P. How, John Vian:
Randomized Coordination Search for Scalable Multiagent Planning. AAMAS 2015: 1793-1794 - [c141]Julian Straub, Trevor Campbell, Jonathan P. How, John W. Fisher III:
Small-variance nonparametric clustering on the hypersphere. CVPR 2015: 334-342 - [c140]Beipeng Mu, Gregory E. Newstadt, Dennis L. Wei, Alfred O. Hero III, Jonathan P. How:
Adaptive search for multi-class targets with heterogeneous importance. FUSION 2015: 28-33 - [c139]Christopher Amato, George Dimitri Konidaris, Gabriel Cruz, Christopher A. Maynor, Jonathan P. How, Leslie Pack Kaelbling:
Planning for decentralized control of multiple robots under uncertainty. ICRA 2015: 1241-1248 - [c138]Mark Cutler, Jonathan P. How:
Efficient reinforcement learning for robots using informative simulated priors. ICRA 2015: 2605-2612 - [c137]Yu Fan Chen, Mark Cutler, Jonathan P. How:
Decoupled multiagent path planning via incremental sequential convex programming. ICRA 2015: 5954-5961 - [c136]Shayegan Omidshafiei, Ali-akbar Agha-mohammadi, Christopher Amato, Jonathan P. How:
Decentralized control of Partially Observable Markov Decision Processes using belief space macro-actions. ICRA 2015: 5962-5969 - [c135]Miao Liu, Christopher Amato, Xuejun Liao, Lawrence Carin, Jonathan P. How:
Stick-Breaking Policy Learning in Dec-POMDPs. IJCAI 2015: 2011-2018 - [c134]Matthew C. Graham, Jonathan P. How, Donald E. Gustafson:
Robust incremental SLAM with consistency-checking. IROS 2015: 117-124 - [c133]N. Kemal Ure, Shayegan Omidshafiei, Brett Thomas Lopez, Ali-akbar Agha-mohammadi, Jonathan P. How, John Vian:
Online heterogeneous multiagent learning under limited communication with applications to forest fire management. IROS 2015: 5181-5188 - [c132]Trevor Campbell, Julian Straub, John W. Fisher III, Jonathan P. How:
Streaming, Distributed Variational Inference for Bayesian Nonparametrics. NIPS 2015: 280-288 - [c131]Christopher Amato, George Dimitri Konidaris, Ariel Anders, Gabriel Cruz, Jonathan P. How, Leslie Pack Kaelbling:
Policy Search for Multi-Robot Coordination under Uncertainty. Robotics: Science and Systems 2015 - [c130]Beipeng Mu, Ali-akbar Agha-mohammadi, Liam Paull, Matthew C. Graham, Jonathan P. How, John J. Leonard:
Two-Stage Focused Inference for Resource-Constrained Collision-Free Navigation. Robotics: Science and Systems 2015 - [i10]Shayegan Omidshafiei, Ali-akbar Agha-mohammadi, Christopher Amato, Jonathan P. How:
Decentralized Control of Partially Observable Markov Decision Processes using Belief Space Macro-actions. CoRR abs/1502.06030 (2015) - [i9]Miao Liu, Christopher Amato, Xuejun Liao, Lawrence Carin, Jonathan P. How:
Stick-Breaking Policy Learning in Dec-POMDPs. CoRR abs/1505.00274 (2015) - [i8]Beipeng Mu, Liam Paull, Ali-akbar Agha-mohammadi, John J. Leonard, Jonathan P. How:
Information-based Active SLAM via Topological Feature Graphs. CoRR abs/1509.08155 (2015) - [i7]Trevor Campbell, Julian Straub, John W. Fisher III, Jonathan P. How:
Streaming, Distributed Variational Inference for Bayesian Nonparametrics. CoRR abs/1510.09161 (2015) - 2014
- [j40]Beipeng Mu, Girish Chowdhary, Jonathan P. How:
Efficient distributed sensing using adaptive censoring-based inference. Autom. 50(6): 1590-1602 (2014) - [j39]Jonathan P. How, Girish Chowdhary, Thomas J. Walsh:
Special Issue on Aerospace and Mechanical Applications of Reinforcement Learning and Adaptive Learning Based Control. J. Aerosp. Inf. Syst. 11(9): 541 (2014) - [j38]Robert C. Grande, Girish Chowdhary, Jonathan P. How:
Experimental Validation of Bayesian Nonparametric Adaptive Control Using Gaussian Processes. J. Aerosp. Inf. Syst. 11(9): 565-578 (2014) - [j37]N. Kemal Ure, Girish Chowdhary, Yu Fan Chen, Jonathan P. How, John Vian:
Distributed Learning for Planning Under Uncertainty Problems with Heterogeneous Teams - Scaling Up the Multiagent Planning with Distributed Learning and Approximate Representations. J. Intell. Robotic Syst. 74(1-2): 529-544 (2014) - [c129]Brandon D. Luders, Jonathan P. How:
An optimizing sampling-based motion planner with guaranteed robustness to bounded uncertainty. ACC 2014: 771-777 - [c128]Yu Fan Chen, N. Kemal Ure, Girish Chowdhary, Jonathan P. How, John Vian:
Planning for large-scale multiagent problems via hierarchical decomposition with applications to UAV health management. ACC 2014: 1279-1285 - [c127]Luke B. Johnson, Han-Lim Choi, Jonathan P. How:
Convergence analysis of the Hybrid Information and Plan Consensus Algorithm. ACC 2014: 3171-3176 - [c126]Han-Lim Choi, Keum-Seong Kim, Luke B. Johnson, Jonathan P. How:
Potential Game-Theoretic Analysis of a Market-Based Decentralized Task Allocation Algorithm. DARS 2014: 207-220 - [c125]Luke B. Johnson, Han-Lim Choi, Jonathan P. How:
The Hybrid Information and Plan Consensus Algorithm with Imperfect Situational Awareness. DARS 2014: 221-233 - [c124]Robert C. Grande, Thomas J. Walsh, Jonathan P. How:
Sample Efficient Reinforcement Learning with Gaussian Processes. ICML 2014: 1332-1340 - [c123]Rakshit Allamaraju, Hassan A. Kingravi, Allan Axelrod, Girish Chowdhary, Robert C. Grande, Jonathan P. How, Christopher Crick, Weihua Sheng:
Human aware UAS path planning in urban environments using nonstationary MDPs. ICRA 2014: 1161-1167 - [c122]Mark Cutler, Thomas J. Walsh, Jonathan P. How:
Reinforcement learning with multi-fidelity simulators. ICRA 2014: 3888-3895 - [c121]Hongchuan Wei, Wenjie Lu, Pingping Zhu, Silvia Ferrari, Robert H. Klein, Shayegan Omidshafiei, Jonathan P. How:
Camera control for learning nonlinear target dynamics via Bayesian nonparametric Dirichlet-process Gaussian-process (DP-GP) models. IROS 2014: 95-102 - [c120]Ali-akbar Agha-mohammadi, N. Kemal Ure, Jonathan P. How, John Vian:
Health aware stochastic planning for persistent package delivery missions using quadrotors. IROS 2014: 3389-3396 - [c119]Trevor Campbell, Jonathan P. How:
Approximate Decentralized Bayesian Inference. UAI 2014: 102-111 - [c118]Daniel S. Levine, Jonathan P. How:
Quantifying Nonlocal Informativeness in High-Dimensional, Loopy Gaussian Graphical Models. UAI 2014: 487-495 - [c117]Sarah Ferguson, Brandon Luders, Robert C. Grande, Jonathan P. How:
Real-Time Predictive Modeling and Robust Avoidance of Pedestrians with Uncertain, Changing Intentions. WAFR 2014: 161-177 - [i6]Christopher Amato, George Dimitri Konidaris, Gabriel Cruz, Christopher A. Maynor, Jonathan P. How, Leslie Pack Kaelbling:
Planning for Decentralized Control of Multiple Robots Under Uncertainty. CoRR abs/1402.2871 (2014) - [i5]Trevor Campbell, Jonathan P. How:
Decentralized Variational Bayesian Inference. CoRR abs/1403.7471 (2014) - [i4]Sarah Ferguson, Brandon Luders, Robert C. Grande, Jonathan P. How:
Real-Time Predictive Modeling and Robust Avoidance of Pedestrians with Uncertain, Changing Intentions. CoRR abs/1405.5581 (2014) - [i3]Gregory E. Newstadt, Beipeng Mu, Dennis L. Wei, Jonathan P. How, Alfred O. Hero III:
Resource-Constrained Adaptive Search for Sparse Multi-Class Targets with Varying Importance. CoRR abs/1409.7808 (2014) - 2013
- [j36]Georges Aoude, Brandon Luders, Joshua Mason Joseph, Nicholas Roy, Jonathan P. How:
Probabilistically safe motion planning to avoid dynamic obstacles with uncertain motion patterns. Auton. Robots 35(1): 51-76 (2013) - [j35]Alborz Geramifard, Thomas J. Walsh, Stefanie Tellex, Girish Chowdhary, Nicholas Roy, Jonathan P. How:
A Tutorial on Linear Function Approximators for Dynamic Programming and Reinforcement Learning. Found. Trends Mach. Learn. 6(4): 375-451 (2013) - [j34]Daniel S. Levine, Brandon Luders, Jonathan P. How:
Information-Theoretic Motion Planning for Constrained Sensor Networks. J. Aerosp. Inf. Syst. 10(10): 476-496 (2013) - [j33]Alborz Geramifard, Josh Redding, Jonathan P. How:
Intelligent Cooperative Control Architecture: A Framework for Performance Improvement Using Safe Learning. J. Intell. Robotic Syst. 72(1): 83-103 (2013) - [j32]Han-Lim Choi, Jonathan P. How, Paul I. Barton:
An outer-approximation approach for information-maximizing sensor selection. Optim. Lett. 7(4): 745-764 (2013) - [c116]Trevor Campbell, Luke B. Johnson, Jonathan P. How:
Multiagent allocation of Markov decision process tasks. ACC 2013: 2356-2361 - [c115]Girish Chowdhary, Hassan A. Kingravi, Jonathan P. How, Patricio A. Vela:
Bayesian nonparametric adaptive control of time-varying systems using Gaussian processes. ACC 2013: 2655-2661 - [c114]Sameera S. Ponda, Luke B. Johnson, Jonathan P. How:
Risk allocation strategies for distributed chance-constrained task allocation. ACC 2013: 3230-3236 - [c113]Beipeng Mu, Girish Chowdhary, Jonathan P. How:
Efficient distributed sensing using adaptive censoring based inference. ACC 2013: 4153-4158 - [c112]Robert C. Grande, Girish Chowdhary, Jonathan P. How:
Nonparametric adaptive control using Gaussian Processes with online hyperparameter estimation. CDC 2013: 861-867 - [c111]Girish Chowdhary, Maximilian Mühlegg, Jonathan P. How, Florian Holzapfel:
A concurrent learning adaptive-optimal control architecture for nonlinear systems. CDC 2013: 868-873 - [c110]Girish Chowdhary, Hassan A. Kingravi, Jonathan P. How, Patricio A. Vela:
A Bayesian nonparametric approach to adaptive control using Gaussian Processes. CDC 2013: 874-879 - [c109]N. Kemal Ure, Girish Chowdhary, Jonathan P. How, Matthew A. Vavrina, John Vian:
Health Aware Planning under uncertainty for UAV missions with heterogeneous teams. ECC 2013: 3312-3319 - [c108]Bernard Michini, Mark Cutler, Jonathan P. How:
Scalable reward learning from demonstration. ICRA 2013: 303-308 - [c107]Joshua Mason Joseph, Alborz Geramifard, John W. Roberts, Jonathan P. How, Nicholas Roy:
Reinforcement learning with misspecified model classes. ICRA 2013: 939-946 - [c106]Girish Chowdhary, Tongbin Wu, Mark Cutler, Jonathan P. How:
Rapid transfer of controllers between UAVs using learning-based adaptive control. ICRA 2013: 5409-5416 - [c105]Trevor Campbell, Miao Liu, Brian Kulis, Jonathan P. How, Lawrence Carin:
Dynamic Clustering via Asymptotics of the Dependent Dirichlet Process Mixture. NIPS 2013: 449-457 - [c104]Daniel S. Levine, Jonathan P. How:
Sensor Selection in High-Dimensional Gaussian Trees with Nuisances. NIPS 2013: 2211-2219 - [c103]Alborz Geramifard, Thomas J. Walsh, Nicholas Roy, Jonathan P. How:
Batch-iFDD for Representation Expansion in Large MDPs. UAI 2013 - [i2]Trevor Campbell, Miao Liu, Brian Kulis, Jonathan P. How:
Dynamic Clustering via Asymptotics of the Dependent Dirichlet Process Mixture. CoRR abs/1305.6659 (2013) - [i1]Alborz Geramifard, Thomas J. Walsh, Nicholas Roy, Jonathan P. How:
Batch-iFDD for Representation Expansion in Large MDPs. CoRR abs/1309.6831 (2013) - 2012
- [j31]Albert Wu, Jonathan P. How:
Guaranteed infinite horizon avoidance of unpredictable, dynamically constrained obstacles. Auton. Robots 32(3): 227-242 (2012) - [j30]Vishnu Desaraju, Jonathan P. How:
Decentralized path planning for multi-agent teams with complex constraints. Auton. Robots 32(4): 385-403 (2012) - [j29]Cameron S. R. Fraser, Luca F. Bertuccelli, Han-Lim Choi, Jonathan P. How:
A hyperparameter consensus method for agreement under uncertainty. Autom. 48(2): 374-380 (2012) - [j28]Andrew S. Clare, Mary L. Cummings, Jonathan P. How, Andrew K. Whitten, Olivier Toupet:
Operator Object Function Guidance for a Real-Time Unmanned Vehicle Scheduling Algorithm. J. Aerosp. Comput. Inf. Commun. 9(4): 161-173 (2012) - [j27]Gerard Parr, Steve Hailes, Jonathan P. How, Joe McGeehan, Y. Jay Guo:
Guest Editorial: Communications Challenges and Dynamics for Unmanned Autonomous Vehicles. IEEE J. Sel. Areas Commun. 30(5): 849-851 (2012) - [j26]Sameera S. Ponda, Luke B. Johnson, Andrew N. Kopeikin, Han-Lim Choi, Jonathan P. How:
Distributed Planning Strategies to Ensure Network Connectivity for Dynamic Heterogeneous Teams. IEEE J. Sel. Areas Commun. 30(5): 861-869 (2012) - [j25]Mary L. Cummings, Jonathan P. How, Andrew K. Whitten, Olivier Toupet:
The Impact of Human-Automation Collaboration in Decentralized Multiple Unmanned Vehicle Control. Proc. IEEE 100(3): 660-671 (2012) - [j24]Georges Aoude, Vishnu Desaraju, Lauren H. Stephens, Jonathan P. How:
Driver Behavior Classification at Intersections and Validation on Large Naturalistic Data Set. IEEE Trans. Intell. Transp. Syst. 13(2): 724-736 (2012) - [c102]Alborz Geramifard, Joshua D. Redding, Joshua Mason Joseph, Nicholas Roy, Jonathan P. How:
Model estimation within planning and learning. ACC 2012: 793-799 - [c101]Sameera S. Ponda, Luke B. Johnson, Jonathan P. How:
Distributed chance-constrained task allocation for autonomous multi-agent teams. ACC 2012: 4528-4533 - [c100]Joshua D. Redding, N. Kemal Ure, Jonathan P. How, Matthew A. Vavrina, John Vian:
Scalable, MDP-based planning for multiple, cooperating agents. ACC 2012: 6011-6016 - [c99]Luke B. Johnson, Han-Lim Choi, Sameera S. Ponda, Jonathan P. How:
Allowing non-submodular score functions in distributed task allocation. CDC 2012: 4702-4708 - [c98]Andrew N. Kopeikin, Sameera S. Ponda, Luke B. Johnson, Jonathan P. How:
Multi-UAV network control through dynamic task allocation: Ensuring data-rate and bit-error-rate support. GLOBECOM Workshops 2012: 1579-1584 - [c97]Bernard Michini, Jonathan P. How:
Improving the efficiency of Bayesian inverse reinforcement learning. ICRA 2012: 3651-3656 - [c96]N. Kemal Ure, Alborz Geramifard, Girish Chowdhary, Jonathan P. How:
Adaptive Planning for Markov Decision Processes with Uncertain Transition Models via Incremental Feature Dependency Discovery. ECML/PKDD (2) 2012: 99-115 - [c95]Bernard Michini, Jonathan P. How:
Bayesian Nonparametric Inverse Reinforcement Learning. ECML/PKDD (2) 2012: 148-163 - 2011
- [j23]Luca F. Bertuccelli, Jonathan P. How:
Active Exploration in Robust Unmanned Vehicle Task Assignment. J. Aerosp. Comput. Inf. Commun. 8(8): 250-268 (2011) - [j22]Yoshiaki Kuwata, Jonathan P. How:
Cooperative Distributed Robust Trajectory Optimization Using Receding Horizon MILP. IEEE Trans. Control. Syst. Technol. 19(2): 423-431 (2011) - [j21]Han-Lim Choi, Jonathan P. How:
Efficient Targeting of Sensor Networks for Large-Scale Systems. IEEE Trans. Control. Syst. Technol. 19(6): 1569-1577 (2011) - [j20]Emily M. Craparo, Jonathan P. How, Eytan H. Modiano:
Throughput Optimization in Mobile Backbone Networks. IEEE Trans. Mob. Comput. 10(4): 560-572 (2011) - [c94]Andrew K. Whitten, Han-Lim Choi, Luke B. Johnson, Jonathan P. How:
Decentralized task allocation with coupled constraints in complex missions. ACC 2011: 1642-1649 - [c93]Joshua D. Redding, Zac Dydek, Jonathan P. How, Matthew A. Vavrina, John Vian:
Proactive planning for persistent missions using composite model-reference adaptive control and approximate dynamic programming. ACC 2011: 2332-2337 - [c92]Alborz Geramifard, Joshua D. Redding, Nicholas Roy, Jonathan P. How:
UAV cooperative control with stochastic risk models. ACC 2011: 3393-3398 - [c91]Justin Teo, Jonathan P. How:
Region of attraction comparison for gradient projection anti-windup compensated systems. CDC/ECC 2011: 5509-5515 - [c90]Andrew N. Kopeikin, Sameera S. Ponda, Luke B. Johnson, Olivier Toupet, Jonathan P. How:
Real-time dynamic planning to maintain network connectivity in a team of unmanned air vehicles. GLOBECOM Workshops 2011: 1303-1307 - [c89]Alborz Geramifard, Finale Doshi, Josh Redding, Nicholas Roy, Jonathan P. How:
Online Discovery of Feature Dependencies. ICML 2011: 881-888 - [c88]Aditya Undurti, Jonathan P. How:
A decentralized approach to multi-agent planning in the presence of constraints and uncertainty. ICRA 2011: 2534-2539 - [c87]Buddy Michini, Josh Redding, N. Kemal Ure, Mark Cutler, Jonathan P. How:
Design and flight testing of an autonomous variable-pitch quadrotor. ICRA 2011: 2978-2979 - [c86]Vishnu Desaraju, Jonathan P. How:
Decentralized path planning for multi-agent teams in complex environments using rapidly-exploring random trees. ICRA 2011: 4956-4961 - [c85]Georges Aoude, Vishnu Desaraju, Lauren H. Stephens, Jonathan P. How:
Behavior classification algorithms at intersections and validation using naturalistic data. Intelligent Vehicles Symposium 2011: 601-606 - 2010
- [j19]Han-Lim Choi, Jonathan P. How:
Continuous trajectory planning of mobile sensors for informative forecasting. Autom. 46(8): 1266-1275 (2010) - [j18]Justin Teo, Jonathan P. How, Eugene Lavretsky:
Proportional-Integral Controllers for Minimum-Phase Nonaffine-in-Control Systems. IEEE Trans. Autom. Control. 55(6): 1477-1483 (2010) - [c84]Josh Redding, Alborz Geramifard, Jonathan P. How:
Actor-Critic Policy Learning in Cooperative Planning. AAAI Spring Symposium: Embedded Reasoning 2010 - [c83]Joshua D. Redding, Alborz Geramifard, Aditya Undurti, Han-Lim Choi, Jonathan P. How:
An intelligent Cooperative Control Architecture. ACC 2010: 57-62 - [c82]Brett Bethke, Joshua D. Redding, Jonathan P. How, Matthew A. Vavrina, John Vian:
Agent capability in persistent mission planning using approximate dynamic programming. ACC 2010: 1623-1628 - [c81]Hamid Reza Shaker, Jonathan P. How:
Stability analysis for class of switched nonlinear systems. ACC 2010: 2517-2520 - [c80]Han-Lim Choi, Andrew K. Whitten, Jonathan P. How:
Decentralized task allocation for heterogeneous teams with cooperation constraints. ACC 2010: 3057-3062 - [c79]Cameron S. R. Fraser, Luca F. Bertuccelli, Han-Lim Choi, Jonathan P. How:
A hyperparameter-based approach for consensus under uncertainties. ACC 2010: 3192-3197 - [c78]Sameera S. Ponda, Josh Redding, Han-Lim Choi, Jonathan P. How, Matthew A. Vavrina, John Vian:
Decentralized planning for complex missions with dynamic communication constraints. ACC 2010: 3998-4003 - [c77]Brett Bethke, Jonathan P. How:
Approximate dynamic programming using model-free Bellman Residual Elimination. ACC 2010: 4146-4151 - [c76]Brandon D. Luders, Sertac Karaman, Emilio Frazzoli, Jonathan P. How:
Bounds on tracking error using closed-loop rapidly-exploring random trees. ACC 2010: 5406-5412 - [c75]Justin Teo, Jonathan P. How:
Analysis of gradient projection anti-windup scheme. ACC 2010: 5966-5972 - [c74]Justin Teo, Jonathan P. How:
Geometric properties of gradient projection anti-windup compensated systems. ACC 2010: 5973-5978 - [c73]Han-Lim Choi, Jonathan P. How:
Analysis of mutual information for informative forecasting using mobile sensors. ICARCV 2010: 1245-1250 - [c72]Seth J. Teller, Matthew R. Walter, Matthew E. Antone, Andrew Correa, Randall Davis, Luke Fletcher, Emilio Frazzoli, Jim Glass, Jonathan P. How, Albert S. Huang, Jeong hwan Jeon, Sertac Karaman, Brandon Luders, Nicholas Roy, Tara N. Sainath:
A voice-commandable robotic forklift working alongside humans in minimally-prepared outdoor environments. ICRA 2010: 526-533 - [c71]Aditya Undurti, Jonathan P. How:
An online algorithm for constrained POMDPs. ICRA 2010: 3966-3973 - [c70]Georges Aoude, Brandon Luders, Daniel S. Levine, Jonathan P. How:
Threat-aware path planning in uncertain urban environments. IROS 2010: 6058-6063 - [c69]Georges Aoude, Brandon D. Luders, Kenneth K. H. Lee, Daniel S. Levine, Jonathan P. How:
Threat assessment design for driver assistance system at intersections. ITSC 2010: 1855-1862
2000 – 2009
- 2009
- [j17]Jonathan P. How, Cameron S. R. Fraser, Karl C. Kulling, Luca F. Bertuccelli, Olivier Toupet, Luc Brunet, Abraham Bachrach, Nicholas Roy:
Increasing autonomy of UAVs. IEEE Robotics Autom. Mag. 16(2): 43-51 (2009) - [j16]Yoshiaki Kuwata, Sertac Karaman, Justin Teo, Emilio Frazzoli, Jonathan P. How, Gaston A. Fiore:
Real-Time Motion Planning With Applications to Autonomous Urban Driving. IEEE Trans. Control. Syst. Technol. 17(5): 1105-1118 (2009) - [j15]Han-Lim Choi, Luc Brunet, Jonathan P. How:
Consensus-Based Decentralized Auctions for Robust Task Allocation. IEEE Trans. Robotics 25(4): 912-926 (2009) - [c68]Brett Bethke, Jonathan P. How:
Approximate dynamic programming using Bellman residual elimination and Gaussian process regression. ACC 2009: 745-750 - [c67]Luca F. Bertuccelli, Brett Bethke, Jonathan P. How:
Robust adaptive Markov Decision Processes in multi-vehicle applications. ACC 2009: 1304-1309 - [c66]Justin Teo, Jonathan P. How, Eugene Lavretsky:
On Approximate Dynamic Inversion and Proportional-Integral control. ACC 2009: 1592-1597 - [c65]Han-Lim Choi, Jonathan P. How:
On the roles of smoothing in planning of informative paths. ACC 2009: 2154-2159 - [c64]Justin Teo, Jonathan P. How:
Anti-windup compensation for nonlinear systems via gradient projection: Application to adaptive control. CDC 2009: 6910-6916 - [c63]John J. Leonard, Jonathan P. How, Seth J. Teller, Mitch Berger, Stefan Campbell, Gaston A. Fiore, Luke Fletcher, Emilio Frazzoli, Albert S. Huang, Sertac Karaman, Olivier Koch, Yoshiaki Kuwata, David Moore, Edwin Olson, Steve Peters, Justin Teo, Robert Truax, Matthew R. Walter, David Barrett, Alexander Epstein, Keoni Maheloni, Katy Moyer, Troy Jones, Ryan Buckley, Matthew E. Antone, Robert Galejs, Siddhartha Krishnamurthy, Jonathan Williams:
A Perception-Driven Autonomous Urban Vehicle. The DARPA Urban Challenge 2009: 163-230 - [c62]Luke Fletcher, Seth J. Teller, Edwin Olson, David Moore, Yoshiaki Kuwata, Jonathan P. How, John J. Leonard, Isaac Miller, Mark E. Campbell, Dan Huttenlocher, Aaron Nathan, Frank-Robert Kline:
The MIT - Cornell Collision and Why It Happened. The DARPA Urban Challenge 2009: 509-548 - [c61]Spencer Ahrens, Daniel S. Levine, Gregory Andrews, Jonathan P. How:
Vision-based guidance and control of a hovering vehicle in unknown, GPS-denied environments. ICRA 2009: 2643-2648 - 2008
- [j14]Mehdi Alighanbari, Jonathan P. How:
Unbiased Kalman Consensus Algorithm. J. Aerosp. Comput. Inf. Commun. 5(9): 298-311 (2008) - [j13]John J. Leonard, Jonathan P. How, Seth J. Teller, Mitch Berger, Stefan Campbell, Gaston A. Fiore, Luke Fletcher, Emilio Frazzoli, Albert S. Huang, Sertac Karaman, Olivier Koch, Yoshiaki Kuwata, David Moore, Edwin Olson, Steve Peters, Justin Teo, Robert Truax, Matthew R. Walter, David Barrett, Alexander Epstein, Keoni Maheloni, Katy Moyer, Troy Jones, Ryan Buckley, Matthew E. Antone, Robert Galejs, Siddhartha Krishnamurthy, Jonathan Williams:
A perception-driven autonomous urban vehicle. J. Field Robotics 25(10): 727-774 (2008) - [j12]Luke Fletcher, Seth J. Teller, Edwin Olson, David Moore, Yoshiaki Kuwata, Jonathan P. How, John J. Leonard, Isaac Miller, Mark E. Campbell, Dan Huttenlocher, Aaron Nathan, Frank-Robert Kline:
The MIT-Cornell collision and why it happened. J. Field Robotics 25(10): 775-807 (2008) - [j11]Brett Bethke, Mario J. Valenti, Jonathan P. How:
UAV Task Assignment. IEEE Robotics Autom. Mag. 15(1): 39-44 (2008) - [c60]Han-Lim Choi, Jonathan P. How, Paul I. Barton:
An outer-approximation algorithm for generalized maximum entropy sampling. ACC 2008: 1818-1823 - [c59]Emily M. Craparo, Jonathan P. How, Eytan H. Modiano:
Optimization of mobile backbone networks: Improved algorithms and approximation. ACC 2008: 2016-2021 - [c58]Brett Bethke, Jonathan P. How, John Vian:
Group health management of UAV teams with applications to persistent surveillance. ACC 2008: 3145-3150 - [c57]Luca F. Bertuccelli, Jonathan P. How:
Robust Markov Decision Processes using Sigma Point sampling. ACC 2008: 5003-5008 - [c56]Luca F. Bertuccelli, Jonathan P. How:
Estimation of non-stationary Markov Chain transition models. CDC 2008: 55-60 - [c55]Emily M. Craparo, Jonathan P. How, Eytan H. Modiano:
Simultaneous placement and assignment for exploration in mobile backbone networks. CDC 2008: 1696-1701 - [c54]Han-Lim Choi, Jonathan P. How:
Continuous motion planning for information forecast. CDC 2008: 1721-1728 - [c53]Justin Teo, Jonathan P. How:
Equivalence between Approximate Dynamic Inversion and Proportional-Integral control. CDC 2008: 2179-2183 - [c52]Brett Bethke, Jonathan P. How, Asuman E. Ozdaglar:
Approximate dynamic programming using support vector regression. CDC 2008: 3811-3816 - [c51]Jonathan P. How, James S. McGrew, Adrian A. Frank, George H. Hines:
Autonomous aircraft flight control for constrained environments. ICRA 2008: 2213-2214 - [c50]Yoshiaki Kuwata, Gaston A. Fiore, Justin Teo, Emilio Frazzoli, Jonathan P. How:
Motion planning for urban driving using RRT. IROS 2008: 1681-1686 - 2007
- [j10]Arthur Richards, Jonathan P. How:
Robust distributed model predictive control. Int. J. Control 80(9): 1517-1531 (2007) - [j9]Yoshiaki Kuwata, Arthur Richards, Tom Schouwenaars, Jonathan P. How:
Distributed Robust Receding Horizon Control for Multivehicle Guidance. IEEE Trans. Control. Syst. Technol. 15(4): 627-641 (2007) - [c49]Yoshiaki Kuwata, Jonathan P. How:
Robust Cooperative Decentralized Trajectory Optimization using Receding Horizon MILP. ACC 2007: 522-527 - [c48]Han-Lim Choi, Jonathan P. How, James A. Hansen:
Ensemble-Based Adaptive Targeting of Mobile Sensor Networks. ACC 2007: 2393-2398 - [c47]Yoshiaki Kuwata, Arthur Richards, Jonathan P. How:
Robust Receding Horizon Control using Generalized Constraint Tightening. ACC 2007: 4482-4487 - [c46]Kieran Culligan, Mario J. Valenti, Yoshiaki Kuwata, Jonathan P. How:
Three-Dimensional Flight Experiments Using On-Line Mixed-Integer Linear Programming Trajectory Optimization. ACC 2007: 5322-5327 - [c45]Mario J. Valenti, Brett Bethke, Jonathan P. How, Daniela Pucci de Farias, John Vian:
Embedding Health Management into Mission Tasking for UAV Teams. ACC 2007: 5777-5783 - [c44]Nicholas Roy, Han-Lim Choi, Daniel Gombos, James A. Hansen, Jonathan P. How, Sooho Park:
Adaptive Observation Strategies for Forecast Error Minimization. International Conference on Computational Science (1) 2007: 1138-1146 - [c43]Mario J. Valenti, Brett Bethke, Daniel Dale, Adrian A. Frank, James S. McGrew, Spencer Ahrens, Jonathan P. How, John Vian:
The MIT Indoor Multi-Vehicle Flight Testbed. ICRA 2007: 2758-2759 - 2006
- [j8]Ellis King, Yoshiaki Kuwata, Jonathan P. How:
Experimental demonstration of coordinated control for multi-vehicle teams. Int. J. Syst. Sci. 37(6): 385-398 (2006) - [c42]Mehdi Alighanbari, Jonathan P. How:
An unbiased Kalman consensus algorithm. ACC 2006: 1-6 - [c41]Luca F. Bertuccelli, Jonathan P. How:
Search for dynamic targets with uncertain probability maps. ACC 2006 - [c40]Gökhan Inalhan, Jonathan P. How:
Decentralized inventory control for large-scale supply chains. ACC 2006 - [c39]Yoshiaki Kuwata, Arthur Richards, Tom Schouwenaars, Jonathan P. How:
Decentralized robust receding horizon control for multi-vehicle guidance. ACC 2006: 1-6 - [c38]Arthur Richards, Jonathan P. How:
Robust stable model predictive control with constraint tightening. ACC 2006: 1-6 - [c37]Tom Schouwenaars, Eric Feron, Jonathan P. How:
Multi-vehicle path planning for non-line of sight communication. ACC 2006: 1-6 - [c36]Mehdi Alighanbari, Luca F. Bertuccelli, Jonathan P. How:
A Robust Approach to the UAV Task Assignment Problem. CDC 2006: 5935-5940 - [c35]Luca F. Bertuccelli, Jonathan P. How:
UAV Search for Dynamic Targets with Uncertain Motion Models. CDC 2006: 5941-5946 - [c34]Yoshiaki Kuwata, Jonathan P. How:
Decentralized Cooperative Trajectory Optimization for UAVs with Coupling Constraints. CDC 2006: 6820-6825 - 2005
- [c33]Arthur Richards, Jonathan P. How:
Robust model predictive control with imperfect information. ACC 2005: 268-273vol.1 - [c32]Ian Garcia, Jonathan P. How:
Trajectory optimization for satellite reconfiguration maneuvers with position and attitude constraints. ACC 2005: 889-894vol.2 - [c31]Louis Breger, Jonathan P. How, Arthur Richards:
Model predictive control of spacecraft formations with sensing noise. ACC 2005: 2385-2390 - [c30]Arthur Richards, Jonathan P. How:
Mixed-integer programming for control. ACC 2005: 2676-2683 - [c29]Yoshiaki Kuwata, Jonathan P. How:
Receding horizon implementation of MILP for vehicle guidance. ACC 2005: 2684-2685 - [c28]Mehdi Alighanbari, Jonathan P. How:
Cooperative task assignment of unmanned aerial vehicles in adversarial environments. ACC 2005: 4661-4666 - [c27]Mehdi Alighanbari, Jonathan P. How:
Decentralized Task Assignment for Unmanned Aerial Vehicles. CDC/ECC 2005: 5668-5673 - [c26]Luca F. Bertuccelli, Jonathan P. How:
Robust UAV Search for Environments with Imprecise Probability Maps. CDC/ECC 2005: 5680-5685 - [c25]Ian Garcia, Jonathan P. How:
Improving the Efficiency of Rapidly-exploring Random Trees Using a Potential Function Planner. CDC/ECC 2005: 7965-7970 - 2004
- [j7]Tom Schouwenaars, Bernard Mettler, Eric Feron, Jonathan P. How:
Hybrid Model for Trajectory Planning of Agile Autonomous Vehicles. J. Aerosp. Comput. Inf. Commun. 1(12): 629-651 (2004) - [c24]Yoshiaki Kuwata, Jonathan P. How:
Stable trajectory design for highly constrained environments using receding horizon control. ACC 2004: 902-907 - [c23]Arthur Richards, Jonathan P. How:
A decentralized algorithm for robust constrained model predictive control. ACC 2004: 4261-4266 - [c22]Ellis King, Yoshiaki Kuwata, Mehdi Alighanbari, Luca F. Bertuccelli, Jonathan P. How:
Coordination and control experiments on a multi-vehicle testbed. ACC 2004: 5315-5320 - [c21]Tom Schouwenaars, Jonathan P. How, Eric Feron:
Receding horizon path planning with implicit safety guarantees. ACC 2004: 5576-5581 - [c20]Luca F. Bertuccelli, Mehdi Alighanbari, Jonathan P. How:
Robust planning for coupled cooperative UAV missions. CDC 2004: 2917-2922 - [c19]Arthur Richards, Jonathan P. How:
Decentralized model predictive control of cooperating UAVs. CDC 2004: 4286-4291 - 2003
- [j6]Sungyung Lim, Jonathan P. How:
Modeling and H∞ control for switched linear parameter-varying missile autopilot. IEEE Trans. Control. Syst. Technol. 11(6): 830-838 (2003) - [c18]Michael Tillerson, Louis Breger, Jonathan P. How:
Distributed coordination and control of formation flying spacecraft. ACC 2003: 1740-1745 - [c17]Tom Schouwenaars, Bernard Mettler, Eric Feron, Jonathan P. How:
Robust motion planning using a maneuver automation with built-in uncertainties. ACC 2003: 2211-2216 - [c16]Arthur Richards, Jonathan P. How:
Model predictive control of vehicle maneuvers with guaranteed completion time and robust feasibility. ACC 2003: 4034-4040 - [c15]Mehdi Alighanbari, Yoshiaki Kuwata, Jonathan P. How:
Coordination and control of multiple UAVs with timing constraints and loitering. ACC 2003: 5311-5316 - [c14]Luis Rodrigues, Jonathan P. How:
Synthesis of piecewise-affine controllers for stabilization of nonlinear systems. CDC 2003: 2071-2076 - 2002
- [c13]Arthur Richards, Jonathan P. How:
Aircraft trajectory planning with collision avoidance using mixed integer linear programming. ACC 2002: 1936-1941 - [c12]Michael Tillerson, Jonathan P. How:
Advanced guidance algorithms for spacecraft formation-keeping. ACC 2002: 2830-2835 - [c11]John S. Bellingham, Arthur Richards, Jonathan P. How:
Receding horizon control of autonomous aerial vehicles. ACC 2002: 3741-3746 - [c10]John S. Bellingham, Michael Tillerson, Mehdi Alighanbari, Jonathan P. How:
Cooperative path planning for multiple UAVs in dynamic and uncertain environments. CDC 2002: 2816-2822 - 2001
- [j5]Bijan Sayyarrodsari, Jonathan P. How, Babak Hassibi, Alain Carrier:
Estimation-based synthesis of H∞-optimal adaptive FIR filters for filtered-LMS problems. IEEE Trans. Signal Process. 49(1): 164-178 (2001) - [c9]Bruce R. Woodley, Jonathan P. How, Robert L. Kosut:
Model free subspace based H∞ control. ACC 2001: 2712-2717 - [c8]Luis Rodrigues, Jonathan P. How:
Automated control design for a piecewise-affine approximation of a class of nonlinear systems. ACC 2001: 3189-3194 - [c7]Jonathan P. How, Michael Tillerson:
Analysis of the impact of sensor noise on formation flying control. ACC 2001: 3986-3991 - [c6]Luis Rodrigues, Jonathan P. How:
Observer-based control of piecewise-affine systems. CDC 2001: 1366-1371 - [c5]Tom Schouwenaars, Bart De Moor, Eric Feron, Jonathan P. How:
Mixed integer programming for multi-vehicle path planning. ECC 2001: 2603-2608 - 2000
- [c4]Luis Rodrigues, Arash Hassibi, Jonathan P. How:
Output feedback controller synthesis for piecewise-affine systems with multiple equilibria. ACC 2000: 1784-1789 - [c3]Lin Xiao, Arash Hassibi, Jonathan P. How:
Control with random communication delays via a discrete-time jump system approach. ACC 2000: 2199-2204 - [c2]Bijan Sayyarrodsari, Jonathan P. How, Babak Hassibi, Alain Carrier:
Estimation-based multi-channel adaptive algorithm for filtered-LMS problems. ACC 2000: 3192-3197 - [c1]Eric Prigge, Jonathan P. How:
An Indoor Absolute Positioning System with No Line of Sight Restrictions and Building-Wide Coverage. ICRA 2000: 1015-1022
1990 – 1999
- 1996
- [j4]Jonathan P. How, Emmanuel G. Collins Jr., Wassim M. Haddad:
Optimal Popov controller analysis and synthesis for systems with real parameter uncertainties. IEEE Trans. Control. Syst. Technol. 4(2): 200-207 (1996) - [j3]Jonathan P. How, Roger Glaese, Simon C. O. Grocott, David W. Miller:
Finite element model-based robust controllers for the middeck active control experiment (MACE). IEEE Trans. Control. Syst. Technol. 5(1): 110-118 (1996) - 1994
- [j2]Jonathan P. How, Steven R. Hall, Wassim M. Haddad:
Robust controllers for the Middeck Active Control Experiment using Popov controller synthesis. IEEE Trans. Control. Syst. Technol. 2(2): 73-87 (1994)
1980 – 1989
- 1982
- [j1]Joseph P. McGeehan, Jonathan P. How:
Elimination of False-Locking in Long Loop Phase-Locked Receivers. IEEE Trans. Commun. 30(10): 2391-2397 (1982)
Coauthor Index
Ali-akbar Agha-mohammadi
aka: Ali-Akbar Agha-Mohammadi
aka: Ali-Akbar Agha-Mohammadi
[j93] [c248] [c244] [c238] [i131] [i124] [j81] [j79] [c235] [c233] [c230] [c224] [i120] [i116] [i114] [i107] [i105] [i103] [i102] [j77] [j76] [j74] [j70] [c222] [c218] [i96] [i93] [i87] [i84] [j64] [i81] [i80] [i79] [i72] [i68] [c197] [c192] [c191] [i51] [i46] [i45] [c179] [i41] [i32] [c170] [c169] [c168] [c164] [i29] [i28] [i26] [i12]
Joshua D. Redding
aka: Josh Redding
aka: Josh Redding
Arthur G. Richards
aka: Arthur Richards
aka: Arthur Richards
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