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2020 – today
- 2024
[j16]Vincent Mai, Philippe Maisonneuve, Tianyu Zhang, Hadi Nekoei
, Liam Paull, Antoine Lesage-Landry:
Correction to: Multi-agent reinforcement learning for fast-timescale demand response of residential loads. Mach. Learn. 113(5): 3355 (2024)- [j15]Vincent Mai, Philippe Maisonneuve, Tianyu Zhang, Hadi Nekoei, Liam Paull, Antoine Lesage-Landry:
Multi-agent reinforcement learning for fast-timescale demand response of residential loads. Mach. Learn. 113(8): 5203-5234 (2024) - [c57]Zhen Liu, Yao Feng, Yuliang Xiu, Weiyang Liu, Liam Paull, Michael J. Black, Bernhard Schölkopf:
Ghost on the Shell: An Expressive Representation of General 3D Shapes. ICLR 2024 - [c56]Qiao Gu, Ali Kuwajerwala, Sacha Morin, Krishna Murthy Jatavallabhula, Bipasha Sen, Aditya Agarwal, Corban Rivera, William Paul, Kirsty Ellis, Rama Chellappa, Chuang Gan, Celso Miguel de Melo, Joshua B. Tenenbaum, Antonio Torralba, Florian Shkurti, Liam Paull:
ConceptGraphs: Open-Vocabulary 3D Scene Graphs for Perception and Planning. ICRA 2024: 5021-5028 - [i40]Luke Rowe, Roger Girgis, Anthony Gosselin, Bruno Carrez, Florian Golemo, Felix Heide, Liam Paull, Christopher Pal:
CtRL-Sim: Reactive and Controllable Driving Agents with Offline Reinforcement Learning. CoRR abs/2403.19918 (2024) - [i39]Manfred Diaz, Liam Paull, Andrea Tacchetti:
Rethinking Teacher-Student Curriculum Learning through the Cooperative Mechanics of Experience. CoRR abs/2404.03084 (2024) - [i38]Mostafa ElAraby, Ali Harakeh, Liam Paull:
BACS: Background Aware Continual Semantic Segmentation. CoRR abs/2404.13148 (2024) - [i37]Miguel A. Saavedra-Ruiz, Steven A. Parkison, Ria Arora, James Richard Forbes, Liam Paull:
The Harmonic Exponential Filter for Nonparametric Estimation on Motion Groups. CoRR abs/2408.00907 (2024) - [i36]Armin Mokhtarian, Jianye Xu, Patrick Scheffe, Maximilian Kloock, Simon Schäfer, Heeseung Bang, Viet-Anh Le, Sangeet Sankaramangalam Ulhas, Johannes Betz, Sean Wilson, Spring Berman, Liam Paull, Amanda Prorok, Bassam Alrifaee:
A Survey on Small-Scale Testbeds for Connected and Automated Vehicles and Robot Swarms. CoRR abs/2408.14199 (2024) - 2023
- [c55]Ali Harakeh, Jordan Sir Kwang Hu, Naiqing Guan, Steven L. Waslander, Liam Paull:
Estimating Regression Predictive Distributions with Sample Networks. AAAI 2023: 7830-7838 - [c54]Vincent Mai, Philippe Maisonneuve, Tianyu Zhang, Hadi Nekoei, Liam Paull, Antoine Lesage-Landry:
Multi-Agent Reinforcement Learning for Fast-Timescale Demand Response of Residential Loads. AAMAS 2023: 2502-2504 - [c53]Anas Mahmoud, Jordan S. K. Hu, Tianshu Kuai, Ali Harakeh, Liam Paull, Steven L. Waslander:
Self-Supervised Image-to-Point Distillation via Semantically Tolerant Contrastive Loss. CVPR 2023: 7102-7110 - [c52]Zhen Liu, Yao Feng, Michael J. Black, Derek Nowrouzezahrai, Liam Paull, Weiyang Liu:
MeshDiffusion: Score-based Generative 3D Mesh Modeling. ICLR 2023 - [c51]Ruixiang Zhang, Tong Che, Boris Ivanovic, Renhao Wang, Marco Pavone, Yoshua Bengio, Liam Paull:
Robust and Controllable Object-Centric Learning through Energy-based Models. ICLR 2023 - [c50]Sacha Morin, Miguel A. Saavedra-Ruiz, Liam Paull:
One-4-All: Neural Potential Fields for Embodied Navigation. IROS 2023: 9375-9382 - [c49]Krishna Murthy Jatavallabhula, Alihusein Kuwajerwala, Qiao Gu, Mohd. Omama, Ganesh Iyer, Soroush Saryazdi, Tao Chen, Alaa Maalouf, Shuang Li, Nikhil Varma Keetha, Ayush Tewari, Joshua B. Tenenbaum, Celso Miguel de Melo, K. Madhava Krishna, Liam Paull, Florian Shkurti, Antonio Torralba:
ConceptFusion: Open-set multimodal 3D mapping. Robotics: Science and Systems 2023 - [i35]Vincent Mai, Philippe Maisonneuve, Tianyu Zhang, Hadi Nekoei, Liam Paull, Antoine Lesage-Landry:
Multi-Agent Reinforcement Learning for Fast-Timescale Demand Response of Residential Loads. CoRR abs/2301.02593 (2023) - [i34]Anas Mahmoud, Jordan S. K. Hu, Tianshu Kuai, Ali Harakeh, Liam Paull, Steven L. Waslander:
Self-Supervised Image-to-Point Distillation via Semantically Tolerant Contrastive Loss. CoRR abs/2301.05709 (2023) - [i33]Krishna Murthy Jatavallabhula, Alihusein Kuwajerwala, Qiao Gu, Mohd. Omama, Tao Chen, Shuang Li, Ganesh Iyer, Soroush Saryazdi, Nikhil Varma Keetha, Ayush Tewari, Joshua B. Tenenbaum, Celso Miguel de Melo, K. Madhava Krishna, Liam Paull, Florian Shkurti, Antonio Torralba:
ConceptFusion: Open-set Multimodal 3D Mapping. CoRR abs/2302.07241 (2023) - [i32]Sacha Morin, Miguel A. Saavedra-Ruiz, Liam Paull:
One-4-All: Neural Potential Fields for Embodied Navigation. CoRR abs/2303.04011 (2023) - [i31]Zhen Liu, Yao Feng, Michael J. Black, Derek Nowrouzezahrai, Liam Paull, Weiyang Liu:
MeshDiffusion: Score-based Generative 3D Mesh Modeling. CoRR abs/2303.08133 (2023) - [i30]Qiao Gu, Alihusein Kuwajerwala, Sacha Morin, Krishna Murthy Jatavallabhula, Bipasha Sen, Aditya Agarwal, Corban Rivera, William Paul, Kirsty Ellis, Rama Chellappa, Chuang Gan, Celso Miguel de Melo, Joshua B. Tenenbaum, Antonio Torralba, Florian Shkurti, Liam Paull:
ConceptGraphs: Open-Vocabulary 3D Scene Graphs for Perception and Planning. CoRR abs/2309.16650 (2023) - [i29]Zhen Liu, Yao Feng, Yuliang Xiu, Weiyang Liu, Liam Paull, Michael J. Black, Bernhard Schölkopf:
Ghost on the Shell: An Expressive Representation of General 3D Shapes. CoRR abs/2310.15168 (2023) - [i28]Mostafa ElAraby, Sabyasachi Sahoo, Yann Pequignot, Paul Novello, Liam Paull:
GROOD: GRadient-aware Out-Of-Distribution detection in interpolated manifolds. CoRR abs/2312.14427 (2023) - 2022
- [j14]Rey Reza Wiyatno, Anqi Xu, Liam Paull:
Lifelong Topological Visual Navigation. IEEE Robotics Autom. Lett. 7(4): 9271-9278 (2022) - [c48]Miguel A. Saavedra-Ruiz, Sacha Morin, Liam Paull:
Monocular Robot Navigation with Self-Supervised Pretrained Vision Transformers. CRV 2022: 197-204 - [c47]Weiyang Liu, Zhen Liu, Liam Paull, Adrian Weller, Bernhard Schölkopf:
Structural Causal 3D Reconstruction. ECCV (1) 2022: 140-159 - [c46]Vincent Mai, Kaustubh Mani, Liam Paull:
Sample Efficient Deep Reinforcement Learning via Uncertainty Estimation. ICLR 2022 - [c45]Dhaivat Bhatt, Kaustubh Mani, Dishank Bansal, Krishna Murthy Jatavallabhula, Hanju Lee, Liam Paull:
f-Cal: Aleatoric uncertainty quantification for robot perception via calibrated neural regression. ICRA 2022: 6533-6539 - [i27]Vincent Mai, Kaustubh Mani, Liam Paull:
Sample Efficient Deep Reinforcement Learning via Uncertainty Estimation. CoRR abs/2201.01666 (2022) - [i26]Miguel A. Saavedra-Ruiz, Sacha Morin, Liam Paull:
Monocular Robot Navigation with Self-Supervised Pretrained Vision Transformers. CoRR abs/2203.03682 (2022) - [i25]Christopher Agia, Krishna Murthy Jatavallabhula, Mohamed Khodeir, Ondrej Miksik, Vibhav Vineet, Mustafa Mukadam, Liam Paull, Florian Shkurti:
TASKOGRAPHY: Evaluating robot task planning over large 3D scene graphs. CoRR abs/2207.05006 (2022) - [i24]Weiyang Liu, Zhen Liu, Liam Paull, Adrian Weller, Bernhard Schölkopf:
Structural Causal 3D Reconstruction. CoRR abs/2207.10156 (2022) - [i23]Ruixiang Zhang, Tong Che, Boris Ivanovic, Renhao Wang, Marco Pavone, Yoshua Bengio, Liam Paull:
Robust and Controllable Object-Centric Learning through Energy-based Models. CoRR abs/2210.05519 (2022) - [i22]Amir Rasouli, Randy Goebel, Matthew E. Taylor, Iuliia Kotseruba, Soheil Alizadeh, Tianpei Yang, Montgomery Alban, Florian Shkurti, Yuzheng Zhuang, Adam Scibior, Kasra Rezaee, Animesh Garg, David Meger, Jun Luo, Liam Paull, Weinan Zhang, Xinyu Wang, Xi Chen:
NeurIPS 2022 Competition: Driving SMARTS. CoRR abs/2211.07545 (2022) - [i21]Ali Harakeh, Jordan S. K. Hu, Naiqing Guan, Steven L. Waslander, Liam Paull:
Estimating Regression Predictive Distributions with Sample Networks. CoRR abs/2211.13724 (2022) - 2021
- [c44]Christopher Agia, Krishna Murthy Jatavallabhula, Mohamed Khodeir, Ondrej Miksik, Vibhav Vineet, Mustafa Mukadam, Liam Paull, Florian Shkurti:
Taskography: Evaluating robot task planning over large 3D scene graphs. CoRL 2021: 46-58 - [c43]Manfred Diaz, Thomas Fevens, Liam Paull:
Uncertainty-Aware Policy Sampling and Mixing for Safe Interactive Imitation Learning. CRV 2021: 72-78 - [c42]Philippe Laferrière, Samuel Laferrière, Steven Dahdah, James Richard Forbes, Liam Paull:
Deep Koopman Representation for Control over Images (DKRCI). CRV 2021: 158-164 - [c41]Weiyang Liu, Rongmei Lin, Zhen Liu, James M. Rehg, Liam Paull, Li Xiong, Le Song, Adrian Weller:
Orthogonal Over-Parameterized Training. CVPR 2021: 7251-7260 - [c40]J. Krishna Murthy, Miles Macklin, Florian Golemo, Vikram Voleti, Linda Petrini, Martin Weiss, Breandan Considine, Jérôme Parent-Lévesque, Kevin Xie, Kenny Erleben, Liam Paull, Florian Shkurti, Derek Nowrouzezahrai, Sanja Fidler:
gradSim: Differentiable simulation for system identification and visuomotor control. ICLR 2021 - [c39]Anthony Courchesne, Andrea Censi, Liam Paull:
On Assessing the Usefulness of Proxy Domains for Developing and Evaluating Embodied Agents. IROS 2021: 4298-4305 - [c38]Amir Rasouli, Soheil Alizadeh, Iuliia Kotseruba, Yi Ma, Hebin Liang, Yuan Tian, Zhiyu Huang, Haochen Liu, Jingda Wu, Randy Goebel, Tianpei Yang, Matthew E. Taylor, Liam Paull, Xi Chen:
Driving SMARTS Competition at NeurIPS 2022: Insights and Outcome. NeurIPS (Competition and Demos) 2021: 73-84 - [c37]Weiyang Liu, Zhen Liu, Hanchen Wang, Liam Paull, Bernhard Schölkopf, Adrian Weller:
Iterative Teaching by Label Synthesis. NeurIPS 2021: 21681-21695 - [i20]Krishna Murthy Jatavallabhula, Miles Macklin, Florian Golemo, Vikram Voleti, Linda Petrini, Martin Weiss, Breandan Considine, Jérôme Parent-Lévesque, Kevin Xie, Kenny Erleben, Liam Paull, Florian Shkurti, Derek Nowrouzezahrai, Sanja Fidler:
gradSim: Differentiable simulation for system identification and visuomotor control. CoRR abs/2104.02646 (2021) - [i19]Vincent Mai, Waleed Khamies, Liam Paull:
Batch Inverse-Variance Weighting: Deep Heteroscedastic Regression. CoRR abs/2107.04497 (2021) - [i18]Dhaivat Bhatt, Kaustubh Mani, Dishank Bansal, Krishna Murthy Jatavallabhula, Hanju Lee, Liam Paull:
$f$-Cal: Calibrated aleatoric uncertainty estimation from neural networks for robot perception. CoRR abs/2109.13913 (2021) - [i17]Anthony Courchesne, Andrea Censi, Liam Paull:
On Assessing the Usefulness of Proxy Domains for Developing and Evaluating Embodied Agents. CoRR abs/2109.14516 (2021) - [i16]Rey Reza Wiyatno, Anqi Xu, Liam Paull:
Lifelong Topological Visual Navigation. CoRR abs/2110.08488 (2021) - [i15]Weiyang Liu, Zhen Liu, Hanchen Wang, Liam Paull, Bernhard Schölkopf, Adrian Weller:
Iterative Teaching by Label Synthesis. CoRR abs/2110.14432 (2021) - 2020
- [j13]Teddy Ort, Krishna Murthy, Rohan Banerjee, Sai Krishna Gottipati, Dhaivat Bhatt, Igor Gilitschenski, Liam Paull, Daniela Rus:
MapLite: Autonomous Intersection Navigation Without a Detailed Prior Map. IEEE Robotics Autom. Lett. 5(2): 556-563 (2020) - [c36]Zijun Zhang, Ruixiang Zhang, Zongpeng Li, Yoshua Bengio, Liam Paull:
Perceptual Generative Autoencoders. ICML 2020: 11298-11306 - [c35]Krishna Murthy Jatavallabhula, Ganesh Iyer, Liam Paull:
∇SLAM: Dense SLAM meets Automatic Differentiation. ICRA 2020: 2130-2137 - [c34]Jacopo Tani, Andrea F. Daniele, Gianmarco Bernasconi, Amaury Camus, Aleksandar Petrov, Anthony Courchesne, Bhairav Mehta, Rohit Suri, Tomasz Zaluska, Matthew R. Walter, Emilio Frazzoli, Liam Paull, Andrea Censi:
Integrated Benchmarking and Design for Reproducible and Accessible Evaluation of Robotic Agents. IROS 2020: 6229-6236 - [c33]Tong Che, Ruixiang Zhang, Jascha Sohl-Dickstein, Hugo Larochelle, Liam Paull, Yuan Cao, Yoshua Bengio:
Your GAN is Secretly an Energy-based Model and You Should Use Discriminator Driven Latent Sampling. NeurIPS 2020 - [c32]Gunshi Gupta, Karmesh Yadav, Liam Paull:
Look-ahead Meta Learning for Continual Learning. NeurIPS 2020 - [i14]Sharath Chandra Raparthy, Bhairav Mehta, Florian Golemo, Liam Paull:
Generating Automatic Curricula via Self-Supervised Active Domain Randomization. CoRR abs/2002.07911 (2020) - [i13]Bhairav Mehta, Tristan Deleu, Sharath Chandra Raparthy, Christopher J. Pal, Liam Paull:
Curriculum in Gradient-Based Meta-Reinforcement Learning. CoRR abs/2002.07956 (2020) - [i12]Tong Che, Ruixiang Zhang, Jascha Sohl-Dickstein, Hugo Larochelle, Liam Paull, Yuan Cao, Yoshua Bengio:
Your GAN is Secretly an Energy-based Model and You Should use Discriminator Driven Latent Sampling. CoRR abs/2003.06060 (2020) - [i11]Gunshi Gupta, Karmesh Yadav, Liam Paull:
La-MAML: Look-ahead Meta Learning for Continual Learning. CoRR abs/2007.13904 (2020) - [i10]Jacopo Tani, Andrea F. Daniele, Gianmarco Bernasconi, Amaury Camus, Aleksandar Petrov, Anthony Courchesne, Bhairav Mehta, Rohit Suri, Tomasz Zaluska, Matthew R. Walter, Emilio Frazzoli, Liam Paull, Andrea Censi:
Integrated Benchmarking and Design for Reproducible and Accessible Evaluation of Robotic Agents. CoRR abs/2009.04362 (2020)
2010 – 2019
- 2019
- [j12]Sai Krishna Gottipati, Keehong Seo, Dhaivat Bhatt, Vincent Mai, Krishna Murthy, Liam Paull:
Deep Active Localization. IEEE Robotics Autom. Lett. 4(4): 4394-4401 (2019) - [c31]Bhairav Mehta, Manfred Diaz, Florian Golemo, Christopher J. Pal, Liam Paull:
Active Domain Randomization. CoRL 2019: 1162-1176 - [c30]Zijun Zhang, Ruixiang Zhang, Zongpeng Li, Yoshua Bengio, Liam Paull:
Perceptual Generative Autoencoders. DGS@ICLR 2019 - [c29]Homanga Bharadhwaj, Zihan Wang, Yoshua Bengio, Liam Paull:
A Data-Efficient Framework for Training and Sim-to-Real Transfer of Navigation Policies. ICRA 2019: 782-788 - [i9]Sai Krishna, Keehong Seo, Dhaivat Bhatt, Vincent Mai, J. Krishna Murthy, Liam Paull:
Deep Active Localization. CoRR abs/1903.01669 (2019) - [i8]Julian G. Zilly, Jacopo Tani, Breandan Considine, Bhairav Mehta, Andrea F. Daniele, Manfred Diaz, Gianmarco Bernasconi, Claudio Ruch, Jan Hakenberg, Florian Golemo, A. Kirsten Bowser, Matthew R. Walter, Ruslan Hristov, Sunil Mallya, Emilio Frazzoli, Andrea Censi, Liam Paull:
The AI Driving Olympics at NeurIPS 2018. CoRR abs/1903.02503 (2019) - [i7]Bhairav Mehta, Manfred Diaz, Florian Golemo, Christopher J. Pal, Liam Paull:
Active Domain Randomization. CoRR abs/1904.04762 (2019) - [i6]Zijun Zhang, Ruixiang Zhang, Zongpeng Li, Yoshua Bengio, Liam Paull:
Perceptual Generative Autoencoders. CoRR abs/1906.10335 (2019) - [i5]Krishna Murthy Jatavallabhula, Ganesh Iyer, Liam Paull:
gradSLAM: Dense SLAM meets Automatic Differentiation. CoRR abs/1910.10672 (2019) - 2018
- [j11]Liam Paull, Mae L. Seto, John J. Leonard, Howard Li:
Probabilistic cooperative mobile robot area coverage and its application to autonomous seabed mapping. Int. J. Robotics Res. 37(1): 21-45 (2018) - [j10]Vincent Mai, Mina Kamel, Matthias Krebs, Andreas Schaffner, Daniel Meier, Liam Paull, Roland Siegwart:
Local Positioning System Using UWB Range Measurements for an Unmanned Blimp. IEEE Robotics Autom. Lett. 3(4): 2971-2978 (2018) - [j9]Wilko Schwarting, Javier Alonso-Mora, Liam Paull, Sertac Karaman, Daniela Rus:
Safe Nonlinear Trajectory Generation for Parallel Autonomy With a Dynamic Vehicle Model. IEEE Trans. Intell. Transp. Syst. 19(9): 2994-3008 (2018) - [c28]Ganesh Iyer, J. Krishna Murthy, Gunshi Gupta, K. Madhava Krishna, Liam Paull:
Geometric Consistency for Self-Supervised End-to-End Visual Odometry. CVPR Workshops 2018: 267-275 - [c27]Alexander Amini, Liam Paull, Thomas Balch, Sertac Karaman, Daniela Rus:
Learning Steering Bounds for Parallel Autonomous Systems. ICRA 2018: 1-8 - [c26]Teddy Ort, Liam Paull, Daniela Rus:
Autonomous Vehicle Navigation in Rural Environments Without Detailed Prior Maps. ICRA 2018: 2040-2047 - [i4]Ganesh Iyer, J. Krishna Murthy, Gunshi Gupta, K. Madhava Krishna, Liam Paull:
Geometric Consistency for Self-Supervised End-to-End Visual Odometry. CoRR abs/1804.03789 (2018) - [i3]Homanga Bharadhwaj, Zihan Wang, Yoshua Bengio, Liam Paull:
A Data-Efficient Framework for Training and Sim-to-Real Transfer of Navigation Policies. CoRR abs/1810.04871 (2018) - 2017
- [j8]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) - [c25]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 - [c24]Wilko Schwarting, Javier Alonso-Mora, Liam Paull, Sertac Karaman, Daniela Rus:
Parallel autonomy in automated vehicles: Safe motion generation with minimal intervention. ICRA 2017: 1928-1935 - [c23]Guy Rosman, Liam Paull, Daniela Rus:
Hybrid control and learning with coresets for autonomous vehicles. IROS 2017: 6894-6901 - [c22]Felix Naser, David L. Dorhout, Stephen Proulx, Scott Drew Pendleton, Hans Andersen, Wilko Schwarting, Liam Paull, Javier Alonso-Mora, Marcelo H. Ang, Sertac Karaman, Russ Tedrake, John J. Leonard, Daniela Rus:
A parallel autonomy research platform. Intelligent Vehicles Symposium 2017: 933-940 - [i2]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) - 2016
- [j7]Behzad Bayat, Julita Bermejo-Alonso, Joel Luis Carbonera, Tullio Facchinetti, Sandro Rama Fiorini, Paulo Jorge Sequeira Gonçalves, Vitor A. M. Jorge, Maki K. Habib, Alaa M. Khamis, Kamilo Melo, Bao Nguyen, Joanna Isabelle Olszewska, Liam Paull, Edson Prestes, S. Veera Ragavan, Sajad Saeedi G., Ricardo Sanz, Mae L. Seto, Bruce Spencer, Amirkhosro Vosughi, Howard Li:
Requirements for building an ontology for autonomous robots. Ind. Robot 43(5): 469-480 (2016) - [c21]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 - [c20]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 - [c19]Liam Paull, Guoquan Huang, John J. Leonard:
A unified resource-constrained framework for graph SLAM. ICRA 2016: 1346-1353 - [c18]Kevin Eckenhoff, Liam Paull, Guoquan Huang:
Decoupled, consistent node removal and edge sparsification for graph-based SLAM. IROS 2016: 3275-3282 - [c17]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 - 2015
- [j6]Sajad Saeedi G., Liam Paull, Michael Trentini, Howard Li:
Occupancy Grid Map Merging for Multiple robot simultaneous Localization and Mapping. Int. J. Robotics Autom. 30(2) (2015) - [c16]Arthur Anderson, Erin M. Fischell, Thom Howe, Tom Miller, Arturo Parrales-Salinas, Nick Rypkema, David Barrett, Michael Benjamin, Alex Brennen, Michael DeFillipo, John J. Leonard, Liam Paull, Henrik R. Schmidt, Nick Wang, Alon Yaari:
An Overview of MIT-Olin's Approach in the AUVSI RobotX Competition. FSR 2015: 61-80 - [c15]Liam Paull, Guoquan Huang, Mae L. Seto, John J. Leonard:
Communication-constrained multi-AUV cooperative SLAM. ICRA 2015: 509-516 - [c14]Hsueh-Cheng Wang, Chelsea Finn, Liam Paull, Michael Kaess, Ruth Rosenholtz, Seth J. Teller, John J. Leonard:
Bridging text spotting and SLAM with junction features. IROS 2015: 3701-3708 - [c13]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 - [i1]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) - 2014
- [j5]Sajad Saeedi G., Liam Paull, Michael Trentini, Mae L. Seto, Howard Li:
Group Mapping: A Topological Approach to Map Merging for Multiple Robots. IEEE Robotics Autom. Mag. 21(2): 60-72 (2014) - [j4]Sajad Saeedi G., Liam Paull, Michael Trentini, Mae L. Seto, Howard Li:
Map merging for multiple robots using Hough peak matching. Robotics Auton. Syst. 62(10): 1408-1424 (2014) - [j3]Liam Paull, Carl Thibault, Amr Nagaty, Mae L. Seto, Howard Li:
Sensor-Driven Area Coverage for an Autonomous Fixed-Wing Unmanned Aerial Vehicle. IEEE Trans. Cybern. 44(9): 1605-1618 (2014) - [c12]Liam Paull, Mae L. Seto, Howard Li:
Area coverage planning that accounts for pose uncertainty with an AUV seabed surveying application. ICRA 2014: 6592-6599 - [c11]Liam Paull, Mae L. Seto, John J. Leonard:
Decentralized cooperative trajectory estimation for autonomous underwater vehicles. IROS 2014: 184-191 - 2012
- [c10]Liam Paull, Gaëtan Séverac, Guilherme V. Raffo, Julian Mauricio Angel, Harold Boley, Phillip J. Durst, Wendell Gray, Maki K. Habib, Bao Nguyen, S. Veera Ragavan, Sajad Saeedi G., Ricardo Sanz, Mae L. Seto, Aleksandar Stefanovski, Michael Trentini, Howard Li:
Towards an Ontology for Autonomous Robots. IROS 2012: 1359-1364 - [c9]Liam Paull, Sajad Saeedi Gharahbolagh, Mae L. Seto, Howard Li:
Sensor driven online coverage planning for autonomous underwater vehicles. IROS 2012: 2875-2880 - [c8]Sajad Saeedi G., Liam Paull, Michael Trentini, Mae L. Seto, Howard Li:
Efficient map merging using a probabilistic generalized Voronoi diagram. IROS 2012: 4419-4424 - [c7]Sajad Saeedi G., Liam Paull, Michael Trentini, Mae L. Seto, Howard Li:
Map merging using hough peak matching. IROS 2012: 4683-4688 - 2011
- [j2]Sajad Saeedi G., Liam Paull, Michael Trentini, Howard Li:
Neural Network-Based Multiple Robot Simultaneous Localization and Mapping. IEEE Trans. Neural Networks 22(12): 2376-2387 (2011) - [c6]Liam Paull, Sajad Saeedi G., Mae L. Seto, Howard Li:
A Multi-agent Framework with MOOS-IvP for Autonomous Underwater Vehicles with Sidescan Sonar Sensors. AIS 2011: 41-50 - [c5]Sajad Saeedi G., Liam Paull, Michael Trentini, Howard Li:
Multiple robot simultaneous localization and mapping. IROS 2011: 853-858 - [c4]Sajad Saeedi G., Liam Paull, Michael Trentini, Howard Li:
Neural network-based multiple robot Simultaneous Localization and Mapping. IROS 2011: 880-885 - 2010
- [j1]Howard Li, Liam Paull, Yevgen Biletskiy, Simon X. Yang:
Document Classification Using Information Theory And A Fast Back-Propagation Neural Network. Intell. Autom. Soft Comput. 16(1): 25-38 (2010) - [c3]Liam Paull, Sajad Saeedi G., Howard Li, Vincent Myers:
An information gain based adaptive path planning method for an autonomous underwater vehicle using sidescan sonar. CASE 2010: 835-840
2000 – 2009
- 2009
- [c2]Liam Paull, Derek MacKay, Howard Li, Liuchen Chang:
Awater heater model for increased power system efficiency. CCECE 2009: 731-734 - [c1]Howard Li, Yi Fu, Khalid Elgazzar, Liam Paull:
Path planning for multiple Unmanned Aerial Vehicles using genetic algorithms. CCECE 2009: 1129-1132
Coauthor Index
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Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-10-07 21:24 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
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since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
