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2020 – today
- 2024
[j35]Jason M. O'Kane, Michael W. Otte, Dorsa Sadigh, Pratap Tokekar:
Selected papers from WAFR 2022. Int. J. Robotics Res. 43(9): 1281-1282 (2024)- [j34]Jun Liu
, Murtaza Rangwala, Kulbir Singh Ahluwalia, Shayan Ghajar, Harnaik Dhami, Pratap Tokekar, Benjamin F. Tracy, Ryan K. Williams:
Intermittent Deployment for Large-Scale Multi-Robot Forage Perception: Data Synthesis, Prediction, and Planning. IEEE Trans Autom. Sci. Eng. 21(1): 27-47 (2024) - [c61]Chak Lam Shek, Guangyao Shi, Ahmad Bilal Asghar, Pratap Tokekar:
Where to Drop Sensors from Aerial Robots to Monitor a Surface-Level Phenomenon? ACC 2024: 367-374 - [c60]Nare Karapetyan, Ahmad Bilal Asghar, Amisha Bhaskar, Guangyao Shi, Dinesh Manocha, Pratap Tokekar:
AG-Cvg: Coverage Planning with a Mobile Recharging UGV and an Energy-Constrained UAV. ICRA 2024: 2617-2623 - [c59]Vishnu Dutt Sharma, Anukriti Singh, Pratap Tokekar:
Pre-Trained Masked Image Model for Mobile Robot Navigation. ICRA 2024: 5126-5133 - [c58]Xiaomin Lin, Nare Karapetyan, Kaustubh Joshi, Tianchen Liu, Nikhil Chopra, Miao Yu, Pratap Tokekar, Yiannis Aloimonos:
UIVNAV: Underwater Information-driven Vision-based Navigation via Imitation Learning. ICRA 2024: 5250-5256 - [c57]Troi Williams, Kasra Torshizi, Pratap Tokekar:
When to Localize?: A POMDP Approach. SSRR 2024: 184-189 - [i83]Peihong Yu, Manav Mishra, Alec Koppel, Carl E. Busart, Priya Narayan, Dinesh Manocha, Amrit S. Bedi, Pratap Tokekar:
Beyond Joint Demonstrations: Personalized Expert Guidance for Efficient Multi-Agent Reinforcement Learning. CoRR abs/2403.08936 (2024) - [i82]Rui Liu, Erfaun Noorani, Pratap Tokekar, John S. Baras:
Towards Efficient Risk-Sensitive Policy Gradient: An Iteration Complexity Analysis. CoRR abs/2403.08955 (2024) - [i81]Amisha Bhaskar, Rui Liu, Vishnu D. Sharma, Guangyao Shi, Pratap Tokekar:
LAVA: Long-horizon Visual Action based Food Acquisition. CoRR abs/2403.12876 (2024) - [i80]Rui Liu, Amisha Bhaskar, Pratap Tokekar:
Adaptive Visual Imitation Learning for Robotic Assisted Feeding Across Varied Bowl Configurations and Food Types. CoRR abs/2403.12891 (2024) - [i79]Md. Ishat E. Rabban, Guangyao Shi, Griffin Bonner, Pratap Tokekar:
Fast k-connectivity Restoration in Multi-Robot Systems for Robust Communication Maintenance. CoRR abs/2404.03834 (2024) - [i78]Harnaik Dhami, Charith Reddy, Vishnu Dutt Sharma, Troi Williams, Pratap Tokekar:
GATSBI: An Online GTSP-Based Algorithm for Targeted Surface Bridge Inspection and Defect Detection. CoRR abs/2406.16625 (2024) - [i77]Vishnu Sashank Dorbala, Vishnu Dutt Sharma, Pratap Tokekar, Dinesh Manocha:
Is Generative Communication between Embodied Agents Good for Zero-Shot ObjectNav? CoRR abs/2408.01877 (2024) - [i76]Amisha Bhaskar, Zahiruddin Mahammad, Sachin R. Jadhav, Pratap Tokekar:
NAVINACT: Combining Navigation and Imitation Learning for Bootstrapping Reinforcement Learning. CoRR abs/2408.04054 (2024) - [i75]Rui Liu, Zahiruddin Mahammad, Amisha Bhaskar, Pratap Tokekar:
IMRL: Integrating Visual, Physical, Temporal, and Geometric Representations for Enhanced Food Acquisition. CoRR abs/2409.12092 (2024) - [i74]Joshua McClellan, Naveed Haghani, John Winder, Furong Huang, Pratap Tokekar:
Boosting Sample Efficiency and Generalization in Multi-agent Reinforcement Learning via Equivariance. CoRR abs/2410.02581 (2024) - [i73]Anas Barakat, Souradip Chakraborty, Peihong Yu, Pratap Tokekar, Amrit Singh Bedi:
On the Sample Complexity of a Policy Gradient Algorithm with Occupancy Approximation for General Utility Reinforcement Learning. CoRR abs/2410.04108 (2024) - 2023
- [j33]Yoonchang Sung, Zhiang Chen, Jnaneshwar Das, Pratap Tokekar:
A Survey of Decision-Theoretic Approaches for Robotic Environmental Monitoring. Found. Trends Robotics 11(4): 225-315 (2023) - [j32]Guangyao Shi, Lifeng Zhou, Pratap Tokekar:
Robust Multiple-Path Orienteering Problem: Securing Against Adversarial Attacks. IEEE Trans. Robotics 39(3): 2060-2077 (2023) - [c56]Souradip Chakraborty, Amrit Singh Bedi, Pratap Tokekar, Alec Koppel, Brian M. Sadler, Furong Huang, Dinesh Manocha:
Posterior Coreset Construction with Kernelized Stein Discrepancy for Model-Based Reinforcement Learning. AAAI 2023: 6980-6988 - [c55]Souradip Chakraborty, Amrit Singh Bedi, Kasun Weerakoon, Prithvi Poddar, Alec Koppel, Pratap Tokekar, Dinesh Manocha:
Dealing with Sparse Rewards in Continuous Control Robotics via Heavy-Tailed Policy Optimization. ICRA 2023: 989-995 - [c54]Vishnu Dutt Sharma, Lifeng Zhou, Pratap Tokekar:
D2CoPlan: A Differentiable Decentralized Planner for Multi-Robot Coverage. ICRA 2023: 3425-3431 - [c53]Ahmad Bilal Asghar, Guangyao Shi, Nare Karapetyan, James Humann, Jean-Paul Reddinger, James Dotterweich, Pratap Tokekar:
Risk-aware Recharging Rendezvous for a Collaborative Team of UAVs and UGVs. ICRA 2023: 5544-5550 - [c52]Shamak Dutta, Nils Wilde, Pratap Tokekar, Stephen L. Smith:
Approximation Algorithms for Robot Tours in Random Fields with Guaranteed Estimation Accuracy. ICRA 2023: 7830-7836 - [c51]Vishnu D. Sharma, Jingxi Chen, Pratap Tokekar:
ProxMaP: Proximal Occupancy Map Prediction for Efficient Indoor Robot Navigation. IROS 2023: 7135-7140 - [c50]Harnaik Dhami, Vishnu D. Sharma, Pratap Tokekar:
Pred-NBV: Prediction-Guided Next-Best-View Planning for 3D Object Reconstruction. IROS 2023: 7149-7154 - [c49]Rui Liu, Guangyao Shi, Pratap Tokekar:
Data-Driven Distributionally Robust Optimal Control with State-Dependent Noise. IROS 2023: 9986-9991 - [c48]Guangyao Shi, Pratap Tokekar:
Decision-Oriented Learning with Differentiable Submodular Maximization for Vehicle Routing Problem. IROS 2023: 11135-11140 - [c47]Troi Williams, Po-Lun Chen, Sparsh Bhogavilli, Vaibhav Sanjay, Pratap Tokekar:
Where Am I Now? Dynamically Finding Optimal Sensor States to Minimize Localization Uncertainty for a Perception-Denied Rover. MRS 2023: 207-213 - [e1]Steven M. LaValle, Jason M. O'Kane, Michael W. Otte, Dorsa Sadigh, Pratap Tokekar:
Algorithmic Foundations of Robotics XV - Proceedings of the Fifteenth Workshop on the Algorithmic Foundations of Robotics, WAFR 2022, College Park, MD, USA, 22-24 June, 2022. Springer Proceedings in Advanced Robotics 25, Springer 2023, ISBN 978-3-031-21089-1 [contents] - [i72]Guangyao Shi, Pratap Tokekar:
Decision-Oriented Learning with Differentiable Submodular Maximization for Vehicle Routing Problem. CoRR abs/2303.01543 (2023) - [i71]Rui Liu, Guangyao Shi, Pratap Tokekar:
Data-Driven Distributionally Robust Optimal Control with State-Dependent Noise. CoRR abs/2303.02293 (2023) - [i70]Souradip Chakraborty, Kasun Weerakoon, Prithvi Poddar, Pratap Tokekar, Amrit Singh Bedi, Dinesh Manocha:
RE-MOVE: An Adaptive Policy Design Approach for Dynamic Environments via Language-Based Feedback. CoRR abs/2303.07622 (2023) - [i69]Harnaik Dhami, Vishnu D. Sharma, Pratap Tokekar:
Pred-NBV: Prediction-guided Next-Best-View for 3D Object Reconstruction. CoRR abs/2304.11465 (2023) - [i68]Harnaik Dhami, Vishnu D. Sharma, Pratap Tokekar:
MAP-NBV: Multi-agent Prediction-guided Next-Best-View Planning for Active 3D Object Reconstruction. CoRR abs/2307.04004 (2023) - [i67]Chak Lam Shek, Guangyao Shi, Ahmad Bilal Asghar, Pratap Tokekar:
Where to Drop Sensors from Aerial Robots to Monitor a Surface-Level Phenomenon? CoRR abs/2307.04328 (2023) - [i66]Yoonchang Sung, Jnaneshwar Das, Pratap Tokekar:
Decision-Theoretic Approaches for Robotic Environmental Monitoring - A Survey. CoRR abs/2308.02698 (2023) - [i65]Varun Suryan, Pratap Tokekar:
Efficiently Identifying Hotspots in a Spatially Varying Field with Multiple Robots. CoRR abs/2309.07981 (2023) - [i64]Xiaomin Lin, Nare Karapetyan, Kaustubh Joshi, Tianchen Liu, Nikhil Chopra, Miao Yu, Pratap Tokekar, Yiannis Aloimonos:
UIVNAV: Underwater Information-driven Vision-based Navigation via Imitation Learning. CoRR abs/2309.08806 (2023) - [i63]Chak Lam Shek, Xiyang Wu, Dinesh Manocha, Pratap Tokekar, Amrit Singh Bedi:
LANCAR: Leveraging Language for Context-Aware Robot Locomotion in Unstructured Environments. CoRR abs/2310.00481 (2023) - [i62]Ahmad Bilal Asghar, Pratap Tokekar:
Energy-Aware Route Planning for a Battery-Constrained Robot with Multiple Charging Depots. CoRR abs/2310.00834 (2023) - [i61]Guangyao Shi, Chak Lam Shek, Nare Karapetyan, Pratap Tokekar:
Decision-Oriented Intervention Cost Prediction for Multi-robot Persistent Monitoring. CoRR abs/2310.01519 (2023) - [i60]Vishnu Dutt Sharma, Anukriti Singh, Pratap Tokekar:
Pre-Trained Masked Image Model for Mobile Robot Navigation. CoRR abs/2310.07021 (2023) - [i59]Md. Ishat E. Rabban, Pratap Tokekar:
D2M2N: Decentralized Differentiable Memory-Enabled Mapping and Navigation for Multiple Robots. CoRR abs/2310.07070 (2023) - [i58]Nare Karapetyan, Ahmad Bilal Asghar, Amisha Bhaskar, Guangyao Shi, Dinesh Manocha, Pratap Tokekar:
AG-CVG: Coverage Planning with a Mobile Recharging UGV and an Energy-Constrained UAV. CoRR abs/2310.07621 (2023) - [i57]Peihong Yu, Bhoram Lee, Aswin Raghavan, Supun Samarasekera, Pratap Tokekar, James Zachary Hare:
Enhancing Multi-Agent Coordination through Common Operating Picture Integration. CoRR abs/2311.04740 (2023) - [i56]Souradip Chakraborty, Amisha Bhaskar, Anukriti Singh, Pratap Tokekar, Dinesh Manocha, Amrit Singh Bedi:
REBEL: A Regularization-Based Solution for Reward Overoptimization in Reinforcement Learning from Human Feedback. CoRR abs/2312.14436 (2023) - 2022
- [j31]Deniz Ozsoyeller, Pratap Tokekar:
Multi-Robot Symmetric Rendezvous Search on the Line. IEEE Robotics Autom. Lett. 7(1): 334-341 (2022) - [j30]Yoonchang Sung, Pratap Tokekar:
GM-PHD Filter for Searching and Tracking an Unknown Number of Targets With a Mobile Sensor With Limited FOV. IEEE Trans Autom. Sci. Eng. 19(3): 2122-2134 (2022) - [j29]Zhongshun Zhang, Pratap Tokekar:
Tree Search Techniques for Adversarial Target Tracking With Distance-Dependent Measurement Noise. IEEE Trans. Control. Syst. Technol. 30(2): 712-727 (2022) - [j28]Lifeng Zhou, Pratap Tokekar:
Risk-Aware Submodular Optimization for Multirobot Coordination. IEEE Trans. Robotics 38(5): 3064-3084 (2022) - [j27]Lifeng Zhou, Vasileios Tzoumas, George J. Pappas, Pratap Tokekar:
Distributed Attack-Robust Submodular Maximization for Multirobot Planning. IEEE Trans. Robotics 38(5): 3097-3112 (2022) - [c46]Guangyao Shi, Nare Karapetyan, Ahmad Bilal Asghar, Jean-Paul Reddinger, James Dotterweich, James Humann, Pratap Tokekar:
Risk-aware UAV-UGV Rendezvous with Chance-Constrained Markov Decision Process. CDC 2022: 180-187 - [c45]Zhi Zhang, Zhuoran Yang, Han Liu, Pratap Tokekar, Furong Huang:
Reinforcement Learning under a Multi-agent Predictive State Representation Model: Method and Theory. ICLR 2022 - [c44]Amrit Singh Bedi, Souradip Chakraborty, Anjaly Parayil, Brian M. Sadler, Pratap Tokekar, Alec Koppel:
On the Hidden Biases of Policy Mirror Ascent in Continuous Action Spaces. ICML 2022: 1716-1731 - [c43]Xiaotian Xu, Guangyao Shi, Pratap Tokekar, Yancy Diaz-Mercado:
Interactive Multi-Robot Aerial Cinematography Through Hemispherical Manifold Coverage. IROS 2022: 11528-11534 - [c42]Lifeng Zhou, Vishnu D. Sharma, Qingbiao Li, Amanda Prorok, Alejandro Ribeiro, Pratap Tokekar, Vijay Kumar:
Graph Neural Networks for Decentralized Multi-Robot Target Tracking. SSRR 2022: 195-202 - [i55]Amrit Singh Bedi, Souradip Chakraborty, Anjaly Parayil, Brian M. Sadler, Pratap Tokekar, Alec Koppel:
On the Hidden Biases of Policy Mirror Ascent in Continuous Action Spaces. CoRR abs/2201.12332 (2022) - [i54]Vishnu Dutt Sharma, Jingxi Chen, Abhinav Shrivastava, Pratap Tokekar:
Occupancy Map Prediction for Improved Indoor Robot Navigation. CoRR abs/2203.04177 (2022) - [i53]Guangyao Shi, Nare Karapetyan, Ahmad Bilal Asghar, Jean-Paul Reddinger, James Dotterweich, James Humann, Pratap Tokekar:
Risk-aware UAV-UGV Rendezvous with Chance-Constrained Markov Decision Process. CoRR abs/2204.04767 (2022) - [i52]Souradip Chakraborty, Amrit Singh Bedi, Alec Koppel, Brian M. Sadler, Furong Huang, Pratap Tokekar, Dinesh Manocha:
Posterior Coreset Construction with Kernelized Stein Discrepancy for Model-Based Reinforcement Learning. CoRR abs/2206.01162 (2022) - [i51]Souradip Chakraborty, Amrit Singh Bedi, Alec Koppel, Pratap Tokekar, Dinesh Manocha:
Dealing with Sparse Rewards in Continuous Control Robotics via Heavy-Tailed Policies. CoRR abs/2206.05652 (2022) - [i50]Ahmad Bilal Asghar, Guangyao Shi, Nare Karapetyan, James Humann, Jean-Paul Reddinger, James Dotterweich, Pratap Tokekar:
Risk-aware Resource Allocation for Multiple UAVs-UGVs Recharging Rendezvous. CoRR abs/2209.06308 (2022) - [i49]Vishnu Dutt Sharma, Lifeng Zhou, Pratap Tokekar:
D2CoPlan: A Differentiable Decentralized Planner for Multi-Robot Coverage. CoRR abs/2209.09292 (2022) - [i48]Shamak Dutta, Nils Wilde, Pratap Tokekar, Stephen L. Smith:
Approximation Algorithms for Robot Tours in Random Fields with Guaranteed Estimation Accuracy. CoRR abs/2210.08107 (2022) - [i47]Vishnu Dutt Sharma, John P. Dickerson, Pratap Tokekar:
Interpretable Deep Reinforcement Learning for Green Security Games with Real-Time Information. CoRR abs/2211.04987 (2022) - [i46]Troi Williams, Po-Lun Chen, Sparsh Bhogavilli, Vaibhav Sanjay, Pratap Tokekar:
Dynamically Finding Optimal Observer States to Minimize Localization Error with Complex State-Dependent Noise. CoRR abs/2211.16721 (2022) - 2021
- [j26]Zhongshun Zhang, Jonathon M. Smereka, Joseph Lee, Lifeng Zhou, Yoonchang Sung, Pratap Tokekar:
Game tree search for minimizing detectability and maximizing visibility. Auton. Robots 45(2): 283-297 (2021) - [j25]Eric Bianchi, Amos Lynn Abbott, Pratap Tokekar, Matthew Hebdon:
COCO-Bridge: Structural Detail Data Set for Bridge Inspections. J. Comput. Civ. Eng. 35(3) (2021) - [j24]Ishat E. Rabban, Pratap Tokekar:
Failure-Resilient Coverage Maximization With Multiple Robots. IEEE Robotics Autom. Lett. 6(2): 3894-3901 (2021) - [j23]Jun Liu, Lifeng Zhou, Pratap Tokekar, Ryan K. Williams:
Distributed Resilient Submodular Action Selection in Adversarial Environments. IEEE Robotics Autom. Lett. 6(3): 5832-5839 (2021) - [j22]Parikshit Maini, Pratap Tokekar, P. B. Sujit:
Visual Monitoring of Points of Interest on a 2.5D Terrain Using a UAV With Limited Field-of-View Constraint. IEEE Trans. Aerosp. Electron. Syst. 57(6): 3661-3672 (2021) - [j21]Parikshit Maini, Pratap Tokekar, P. B. Sujit:
Visibility-Based Persistent Monitoring of Piecewise Linear Features on a Terrain Using Multiple Aerial and Ground Robots. IEEE Trans Autom. Sci. Eng. 18(4): 1692-1704 (2021) - [c41]Guangyao Shi, Ishat E. Rabban, Lifeng Zhou, Pratap Tokekar:
Communication-Aware Multi-robot Coordination with Submodular Maximization. ICRA 2021: 8955-8961 - [c40]Yoonchang Sung, Deeksha Dixit, Pratap Tokekar:
Environmental Hotspot Identification in Limited Time with a UAV Equipped with a Downward-Facing Camera. ICRA 2021: 13264-13270 - [c39]Jingxi Chen, Amrish Baskaran, Zhongshun Zhang, Pratap Tokekar:
Multi-Agent Reinforcement Learning for Visibility-based Persistent Monitoring. IROS 2021: 2563-2570 - [c38]Rishab Balasubramanian, Lifeng Zhou, Pratap Tokekar, P. B. Sujit:
Risk-Aware Submodular Optimization for Stochastic Travelling Salesperson Problem. IROS 2021: 4720-4725 - [i45]Deniz Ozsoyeller, Pratap Tokekar:
Multi-robot Symmetric Rendezvous Search on the Line. CoRR abs/2101.05324 (2021) - [i44]Vishnu Dutt Sharma, Pratap Tokekar:
Risk-Aware Path Planning for Ground Vehicles using Occluded Aerial Images. CoRR abs/2104.11709 (2021) - [i43]Lifeng Zhou, Pratap Tokekar:
Multi-Robot Coordination and Planning in Uncertain and Adversarial Environments. CoRR abs/2105.00389 (2021) - [i42]Jun Liu, Lifeng Zhou, Pratap Tokekar, Ryan K. Williams:
Distributed Resilient Submodular Action Selection in Adversarial Environments. CoRR abs/2105.07305 (2021) - [i41]Manav Mishra, Prithvi Poddar, Jingxi Chen, Pratap Tokekar, P. B. Sujit:
GALOPP: Multi-Agent Deep Reinforcement Learning For Persistent Monitoring With Localization Constraints. CoRR abs/2109.06831 (2021) - [i40]Jun Liu, Murtaza Rangwala, Kulbir Singh Ahluwalia, Shayan Ghajar, Harnaik Singh Dhami, Pratap Tokekar, Benjamin F. Tracy, Ryan K. Williams:
Intermittent Deployment for Large-Scale Multi-Robot Forage Perception: Data Synthesis, Prediction, and Planning. CoRR abs/2112.09203 (2021) - 2020
- [j20]Yoonchang Sung, Ashish Kumar Budhiraja, Ryan K. Williams, Pratap Tokekar:
Distributed assignment with limited communication for multi-robot multi-target tracking. Auton. Robots 44(1): 57-73 (2020) - [j19]Varun Suryan, Nahush Gondhalekar, Pratap Tokekar:
Multifidelity Reinforcement Learning With Gaussian Processes: Model-Based and Model-Free Algorithms. IEEE Robotics Autom. Mag. 27(2): 117-128 (2020) - [j18]Varun Suryan, Pratap Tokekar:
Learning a Spatial Field in Minimum Time With a Team of Robots. IEEE Trans. Robotics 36(5): 1562-1576 (2020) - [c37]Muhammad Hassan Tanveer, Antony Thomas, Xiaowei Wu, Rolf Müller, Pratap Tokekar, Hongxiao Zhu:
Recreating Bat Behavior on Quad-Rotor UAVs - A Simulation Approach. FLAIRS 2020: 380-385 - [c36]Lifeng Zhou, Vasileios Tzoumas, George J. Pappas, Pratap Tokekar:
Distributed Attack-Robust Submodular Maximization for Multi-Robot Planning. ICRA 2020: 2479-2485 - [c35]Harnaik Dhami, Kevin Yu, Tianshu Xu, Qian Zhu, Kshitiz Dhakal, James Friel, Song Li, Pratap Tokekar:
Crop Height and Plot Estimation for Phenotyping from Unmanned Aerial Vehicles using 3D LiDAR. IROS 2020: 2643-2649 - [c34]Clayton Mangette, Pratap Tokekar:
Multi-Robot Coordinated Planning in Confined Environments under Kinematic Constraints. IROS 2020: 7999-8004 - [c33]Vishnu D. Sharma, Maymoonah Toubeh, Lifeng Zhou, Pratap Tokekar:
Risk-Aware Planning and Assignment for Ground Vehicles using Uncertain Perception from Aerial Vehicles. IROS 2020: 11763-11769 - [c32]Guangyao Shi, Pratap Tokekar, Lifeng Zhou:
Robust Multiple-Path Orienteering Problem: Securing Against Adversarial Attacks. Robotics: Science and Systems 2020 - [i39]Muhammad Hassan Tanveer, Antony Thomas, Xiaowei Wu, Rolf Müller, Pratap Tokekar, Hongxiao Zhu:
Recreating Bat Behavior on Quad-rotor UAVs-A Simulation Approach. CoRR abs/2002.05060 (2020) - [i38]William E. Gerhard III, Pratap Tokekar:
Experimental Evaluation of a Pseudo-Doppler Direction-Finding System for Localizing Radio Tags. CoRR abs/2003.00386 (2020) - [i37]Deeksha Dixit, Pratap Tokekar:
Evaluation of Cross-View Matching to Improve Ground Vehicle Localization with Aerial Perception. CoRR abs/2003.06515 (2020) - [i36]Lifeng Zhou, Pratap Tokekar:
Risk-Aware Submodular Optimization for Multi-Robot Coordination. CoRR abs/2003.10492 (2020) - [i35]Vishnu D. Sharma, Maymoonah Toubeh, Lifeng Zhou, Pratap Tokekar:
Risk-Aware Planning and Assignment for Ground Vehicles using Uncertain Perception from Aerial Vehicles. CoRR abs/2003.11675 (2020) - [i34]Guangyao Shi, Lifeng Zhou, Pratap Tokekar:
Robust Multiple-Path Orienteering Problem: Securing Against Adversarial Attacks. CoRR abs/2003.13896 (2020) - [i33]Aravind Preshant Premkumar, Kevin Yu, Pratap Tokekar:
Combining Geometric and Information-Theoretic Approaches for Multi-Robot Exploration. CoRR abs/2004.06856 (2020) - [i32]Russell Schwartz, Pratap Tokekar:
Robust Multi-Agent Task Assignment in Failure-Prone and Adversarial Environments. CoRR abs/2007.00100 (2020) - [i31]Ishat E. Rabban, Pratap Tokekar:
Improved Resilient Coverage Maximization with Multiple Robots. CoRR abs/2007.02204 (2020) - [i30]Kevin Yu, Jason M. O'Kane, Pratap Tokekar:
Coverage of an Environment Using Energy-Constrained Unmanned Aerial Vehicles. CoRR abs/2007.03501 (2020) - [i29]Guangyao Shi, Ishat E. Rabban, Pratap Tokekar:
Fast Biconnectivity Restoration in Multi-Robot Systems for Robust Communication Maintenance. CoRR abs/2011.00685 (2020) - [i28]Rishab Balasubramanian, Lifeng Zhou, Pratap Tokekar, P. B. Sujit:
Risk-Aware Submodular Optimization for Multi-objective Travelling Salesperson Problem. CoRR abs/2011.01095 (2020) - [i27]Jingxi Chen, Amrish Baskaran, Zhongshun Zhang, Pratap Tokekar:
Multi-Agent Reinforcement Learning for Persistent Monitoring. CoRR abs/2011.01129 (2020) - [i26]Guangyao Shi, Ishat E. Rabban, Lifeng Zhou, Pratap Tokekar:
Communication-Aware Multi-robot Coordination with Submodular Maximization. CoRR abs/2011.01476 (2020) - [i25]Kevin Yu, Harnaik Dhami, Kartik Madhira, Pratap Tokekar:
GATSBI: An Online GTSP-Based Algorithm for Targeted Surface Bridge Inspection. CoRR abs/2012.04803 (2020)
2010 – 2019
- 2019
- [j17]Kevin Yu, Ashish Kumar Budhiraja, Spencer Buebel, Pratap Tokekar:
Algorithms and experiments on routing of unmanned aerial vehicles with mobile recharging stations. J. Field Robotics 36(3): 602-616 (2019) - [j16]Lifeng Zhou, Vasileios Tzoumas, George J. Pappas, Pratap Tokekar:
Resilient Active Target Tracking With Multiple Robots. IEEE Robotics Autom. Lett. 4(1): 129-136 (2019) - [j15]Lifeng Zhou, Pratap Tokekar:
Active Target Tracking With Self-Triggered Communications in Multi-Robot Teams. IEEE Trans Autom. Sci. Eng. 16(3): 1085-1096 (2019) - [j14]Lifeng Zhou, Pratap Tokekar:
Sensor Assignment Algorithms to Improve Observability While Tracking Targets. IEEE Trans. Robotics 35(5): 1206-1219 (2019) - [c31]Kevin Yu, Jason M. O'Kane, Pratap Tokekar:
Coverage of an Environment Using Energy-Constrained Unmanned Aerial Vehicles. ICRA 2019: 3259-3265 - [c30]Yoonchang Sung, Pratap Tokekar:
A Competitive Algorithm for Online Multi-Robot Exploration of a Translating Plume. ICRA 2019: 3391-3397 - [c29]Zhongshun Zhang, Joseph Lee, Jonathon M. Smereka, Yoonchang Sung, Lifeng Zhou, Pratap Tokekar:
Tree Search Techniques for Minimizing Detectability and Maximizing Visibility. ICRA 2019: 8791-8797 - [c28]Lifeng Zhou, Pratap Tokekar:
An Approximation Algorithm for Distributed Resilient Submodular Maximization: Extended Abstract. MRS 2019: 216-218 - [i24]Parikshit Maini, P. B. Suijt, Pratap Tokekar:
Visual Monitoring for Multiple Points of Interest on a 2.5D Terrain using a UAV with Limited Field-of-View Constraint. CoRR abs/1903.07363 (2019) - [i23]Varun Suryan, Pratap Tokekar:
Learning a Spatial Field in Minimum Time with a Team of Robots. CoRR abs/1909.01895 (2019) - [i22]Yoonchang Sung, Deeksha Dixit, Pratap Tokekar:
Environmental Hotspot Identification in Limited Time with a UAV Equipped with a Downward-Facing Camera. CoRR abs/1909.08483 (2019) - [i21]Maymoonah Toubeh, Pratap Tokekar:
Risk-Aware Planning by Confidence Estimation using Deep Learning-Based Perception. CoRR abs/1910.00101 (2019) - [i20]Lifeng Zhou, Vasileios Tzoumas, George J. Pappas, Pratap Tokekar:
Distributed Attack-Robust Submodular Maximization for Multi-Robot Planning. CoRR abs/1910.01208 (2019) - [i19]Kevin Yu, Prajwal Shanthakumar, Jonah Orevillo, Eric Bianchi, Matthew Hebdon, Pratap Tokekar:
View Planning and Navigation Algorithms for Autonomous Bridge Inspection with UAVs. CoRR abs/1910.02786 (2019) - [i18]Clayton Mangette, Pratap Tokekar:
Multi-Robot Coordinated Planning in Confined Environments under Kinematic Constraints. CoRR abs/1910.03101 (2019) - [i17]Harnaik Dhami, Kevin Yu, Tianshu Xu, Qian Zhu, Kshitiz Dhakal, James Friel, Song Li, Pratap Tokekar:
Crop Height and Plot Estimation from Unmanned Aerial Vehicles using 3D LiDAR. CoRR abs/1910.14031 (2019) - 2018
- [j13]Robert Fitch, Volkan Isler, Pratap Tokekar, Davide Scaramuzza:
Guest editorial: Special issue on active perception. Auton. Robots 42(2): 175-176 (2018) - [c27]Zhongshun Zhang, Lifeng Zhou, Pratap Tokekar:
Strategies to Design Signals to Spoof Kalman Filter. ACC 2018: 5837-5842 - [c26]Michael C. Fowler, Pratap Tokekar, T. Charles Clancy, Ryan K. Williams:
Constrained-Action POMDPs for Multi-Agent Intelligent Knowledge Distribution. ICRA 2018: 1-8 - [c25]Yoonchang Sung, Ashish Kumar Budhiraja, Ryan K. Williams, Pratap Tokekar:
Distributed Simultaneous Action and Target Assignment for Multi-Robot Multi-Target Tracking. ICRA 2018: 1-9 - [c24]Kevin Yu, Ashish Kumar Budhiraja, Pratap Tokekar:
Algorithms for Routing of Unmanned Aerial Vehicles with Mobile Recharging Stations. ICRA 2018: 1-5 - [c23]Parikshit Maini, Gautam Gupta, Pratap Tokekar, P. B. Sujit:
Visibility-Based Monitoring of a Path Using a Heterogeneous Robot Team. IROS 2018: 3765-3770 - [c22]Parikshit Maini, Kevin Yu, P. B. Sujit, Pratap Tokekar:
Persistent Monitoring with Refueling on a Terrain Using a Team of Aerial and Ground Robots. IROS 2018: 8493-8498 - [c21]Prajwal Shanthakumar, Kevin Yu, Mandeep Singh, Jonah Orevillo, Eric Bianchi, Matthew Hebdon, Pratap Tokekar:
View Planning and Navigation Algorithms for Autonomous Bridge Inspection with UAVs. ISER 2018: 201-210 - [c20]Lifeng Zhou, Pratap Tokekar:
An Approximation Algorithm for Risk-Averse Submodular Optimization. WAFR 2018: 144-159 - [c19]Varun Suryan, Pratap Tokekar:
Learning a Spatial Field with Gaussian Process Regression in Minimum Time. WAFR 2018: 301-317 - [i16]Lifeng Zhou, Pratap Tokekar:
An Approximation Algorithm for Risk-averse Submodular Optimization. CoRR abs/1807.09358 (2018) - [i15]Zhongshun Zhang, Yoonchang Sung, Lifeng Zhou, Jonathon M. Smereka, Joseph Lee, Pratap Tokekar:
A Minimax Tree Based Approach for Minimizing Detectability and Maximizing Visibility. CoRR abs/1807.09437 (2018) - [i14]Lifeng Zhou, Vasileios Tzoumas, George J. Pappas, Pratap Tokekar:
Resilient Active Target Tracking with Multiple Robots. CoRR abs/1809.04032 (2018) - [i13]Zhongshun Zhang, Lifeng Zhou, Pratap Tokekar:
Strategies to Inject Spoofed Measurement Data. CoRR abs/1809.04756 (2018) - [i12]Yoonchang Sung, Pratap Tokekar:
A Competitive Algorithm for Online Multi-Robot Exploration of a Translating Plume. CoRR abs/1811.02769 (2018) - [i11]Yoonchang Sung, Pratap Tokekar:
GM-PHD Filter for Searching and Tracking an Unknown Number of Targets with a Mobile Sensor with Limited FOV. CoRR abs/1812.09636 (2018) - [i10]Yoonchang Sung, Ashish Kumar Budhiraja, Ryan K. Williams, Pratap Tokekar:
Distributed Assignment with Limited Communication for Multi-Robot Multi-Target Tracking. CoRR abs/1812.11172 (2018) - 2017
- [j12]Philip M. Dames, Pratap Tokekar, Vijay Kumar:
Detecting, localizing, and tracking an unknown number of moving targets using a team of mobile robots. Int. J. Robotics Res. 36(13-14): 1540-1553 (2017) - [j11]David Ball, Ben Upcroft, Eldert J. van Henten, Anton van den Hengel, Pratap Tokekar, Jnaneshwar Das:
JFR Special Issue on Agricultural Robotics. J. Field Robotics 34(6): 1037-1038 (2017) - [j10]Gordon A. Christie, Adam Shoemaker, Kevin Kochersberger, Pratap Tokekar, Lance McLean, Alexander Leonessa:
Radiation search operations using scene understanding with autonomous UAV and UGV. J. Field Robotics 34(8): 1450-1468 (2017) - [j9]Jose Luis Susa Rincon, Pratap Tokekar, Vijay Kumar, Stefano Carpin:
Rapid Deployment of Mobile Robots Under Temporal, Performance, Perception, and Resource Constraints. IEEE Robotics Autom. Lett. 2(4): 2016-2023 (2017) - [c18]Lifeng Zhou, Pratap Tokekar:
Active target tracking with self-triggered communications. ICRA 2017: 2117-2123 - [c17]Yoonchang Sung, Pratap Tokekar:
Algorithm for searching and tracking an unknown and varying number of mobile targets using a limited FoV sensor. ICRA 2017: 6246-6252 - [i9]Kevin Yu, Ashish Kumar Budhiraja, Pratap Tokekar:
Algorithms for Routing of Unmanned Aerial Vehicles with Mobile Recharging Stations and for Package Delivery. CoRR abs/1704.00079 (2017) - [i8]Lifeng Zhou, Pratap Tokekar:
Active Target Tracking with Self-Triggered Communications in Multi-Robot Teams. CoRR abs/1704.07475 (2017) - [i7]Lifeng Zhou, Pratap Tokekar:
A Lower Bound on Observability for Target Tracking with Range Sensors and its Application to Sensor Assignment. CoRR abs/1706.00871 (2017) - [i6]Yoonchang Sung, Ashish Kumar Budhiraja, Ryan K. Williams, Pratap Tokekar:
Distributed Simultaneous Action and Target Assignment for Multi-Robot Multi-Target Tracking. CoRR abs/1706.02245 (2017) - [i5]Zhongshun Zhang, Lifeng Zhou, Pratap Tokekar:
Strategies to Design Signals to Spoof Kalman Filter. CoRR abs/1710.02442 (2017) - [i4]Varun Suryan, Nahush Gondhalekar, Pratap Tokekar:
Multi-Fidelity Reinforcement Learning with Gaussian Processes. CoRR abs/1712.06489 (2017) - 2016
- [j8]Pratap Tokekar, Volkan Isler:
Polygon guarding with orientation. Comput. Geom. 58: 97-109 (2016) - [j7]Pratap Tokekar, Joshua Vander Hook, David J. Mulla, Volkan Isler:
Sensor Planning for a Symbiotic UAV and UGV System for Precision Agriculture. IEEE Trans. Robotics 32(6): 1498-1511 (2016) - [c16]Zhongshun Zhang, Pratap Tokekar:
Non-myopic target tracking strategies for non-linear systems. CDC 2016: 5591-5596 - [c15]Aravind Preshant Premkumar, Kevin Yu, Pratap Tokekar:
A Geometric Approach for Multi-Robot Exploration in Orthogonal Polygons. WAFR 2016: 896-911 - [i3]Gordon A. Christie, Adam Shoemaker, Kevin Kochersberger, Pratap Tokekar, Lance McLean, Alexander Leonessa:
Radiation Search Operations using Scene Understanding with Autonomous UAV and UGV. CoRR abs/1609.00017 (2016) - [i2]Zhongshun Zhang, Pratap Tokekar:
Non-Myopic Target Tracking Strategies for State-Dependent Noise. CoRR abs/1611.02343 (2016) - [i1]Pratap Tokekar, Ashish Kumar Budhiraja, Vijay Kumar:
Algorithms for Visibility-Based Monitoring with Robot Teams. CoRR abs/1612.03246 (2016) - 2015
- [j6]Joshua Vander Hook, Pratap Tokekar, Volkan Isler:
Algorithms for Cooperative Active Localization of Static Targets With Mobile Bearing Sensors Under Communication Constraints. IEEE Trans. Robotics 31(4): 864-876 (2015) - [c14]Jnaneshwar Das, Gareth Cross, Chao Qu, Anurag Makineni, Pratap Tokekar, Yash Mulgaonkar, Vijay Kumar:
Devices, systems, and methods for automated monitoring enabling precision agriculture. CASE 2015: 462-469 - [c13]Pratap Tokekar, Vijay Kumar:
Visibility-based persistent monitoring with robot teams. IROS 2015: 3387-3394 - [c12]Philip M. Dames, Pratap Tokekar, Vijay Kumar:
Detecting, Localizing, and Tracking an Unknown Number of Moving Targets Using a Team of Mobile Robots. ISRR (1) 2015: 513-529 - [c11]Volkan Isler, Narges Noori, Patrick A. Plonski, Alessandro Renzaglia, Pratap Tokekar, Joshua Vander Hook:
Finding and tracking targets in the wild: Algorithms and field deployments. SSRR 2015: 1-8 - 2014
- [j5]Pratap Tokekar, Nikhil Karnad, Volkan Isler:
Energy-optimal trajectory planning for car-like robots. Auton. Robots 37(3): 279-300 (2014) - [j4]Joshua Vander Hook, Pratap Tokekar, Volkan Isler:
Cautious Greedy Strategy for Bearing-only Active Localization: Analysis and Field Experiments. J. Field Robotics 31(2): 296-318 (2014) - [c10]Pratap Tokekar, Volkan Isler:
Polygon guarding with orientation. ICRA 2014: 1014-1019 - [c9]Pratap Tokekar, Volkan Isler, Antonio Franchi:
Multi-target visual tracking with aerial robots. IROS 2014: 3067-3072 - 2013
- [j3]Patrick A. Plonski, Pratap Tokekar, Volkan Isler:
Energy-Efficient Path Planning for Solar-Powered Mobile Robots. J. Field Robotics 30(4): 583-601 (2013) - [j2]Pratap Tokekar, Elliot Branson, Joshua Vander Hook, Volkan Isler:
Tracking Aquatic Invaders: Autonomous Robots for Monitoring Invasive Fish. IEEE Robotics Autom. Mag. 20(3): 33-41 (2013) - [c8]Pratap Tokekar, Volkan Isler:
Sensor placement and selection for bearing sensors with bounded uncertainty. ICRA 2013: 2515-2520 - [c7]Pratap Tokekar, Joshua Vander Hook, David J. Mulla, Volkan Isler:
Sensor planning for a symbiotic UAV and UGV system for precision agriculture. IROS 2013: 5321-5326 - 2012
- [c6]Joshua Vander Hook, Pratap Tokekar, Volkan Isler:
Cautious greedy strategy for bearing-based active localization: Experiments and theoretical analysis. ICRA 2012: 1787-1792 - [c5]Patrick A. Plonski, Pratap Tokekar, Volkan Isler:
Energy-Efficient Path Planning for Solar-Powered Mobile Robots. ISER 2012: 717-731 - [c4]Joshua Vander Hook, Pratap Tokekar, Elliot Branson, Przemyslaw G. Bajer, Peter W. Sorensen, Volkan Isler:
Local-Search Strategy for Active Localization of Multiple Invasive Fish. ISER 2012: 859-873 - 2011
- [c3]Pratap Tokekar, Nikhil Karnad, Volkan Isler:
Energy-optimal velocity profiles for car-like robots. ICRA 2011: 1457-1462 - [c2]Pratap Tokekar, Joshua Vander Hook, Volkan Isler:
Active target localization for bearing based robotic telemetry. IROS 2011: 488-493 - 2010
- [j1]Pratap Tokekar, Deepak Bhadauria, Andrew Studenski, Volkan Isler:
A robotic system for monitoring carp in Minnesota lakes. J. Field Robotics 27(6): 779-789 (2010) - [c1]Deepak Bhadauria, Volkan Isler, Andrew Studenski, Pratap Tokekar:
A Robotic Sensor Network for monitoring carp in Minnesota lakes. ICRA 2010: 3837-3842
Coauthor Index
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