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High-Speed Accurate Robot Control using Learned Forward Kinodynamics and Non-linear Least Squares Optimization



Pranav Atreya , Haresh Karnan , Kavan Singh Sikand , Xuesu Xiao , Garrett Warnell , Sadegh Rabiee , Peter Stone , Joydeep Biswas


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VI-IKD: High-Speed Accurate Off-Road Navigation using Learned Visual-Inertial Inverse Kinodynamics



Haresh Karnan , Kavan Singh Sikand , Pranav Atreya , Sadegh Rabiee , Xuesu Xiao , Garrett Warnell , Peter Stone , Joydeep Biswas


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Socially Compliant Navigation Dataset (SCAND): A Large-Scale Dataset of Demonstrations for Social Navigation



Haresh Karnan , Anirudh Nair , Xuesu Xiao , Garrett Warnell , Soeren Pirk , Alexander Toshev , Justin Hart , Joydeep Biswas , Peter Stone


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Adversarial Imitation Learning from Video using a State Observer



Haresh Karnan , Garrett Warnell , Faraz Torabi , Peter Stone

* International Conference on Robotics and Automation (ICRA) 2022 

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Visual Representation Learning for Preference-Aware Path Planning



Kavan Singh Sikand , Sadegh Rabiee , Adam Uccello , Xuesu Xiao , Garrett Warnell , Joydeep Biswas

* 7 pages, 6 figures 

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APPLE: Adaptive Planner Parameter Learning from Evaluative Feedback



Zizhao Wang , Xuesu Xiao , Garrett Warnell , Peter Stone

* 6 pages, 4 figures, accepted in IROS 2021. arXiv admin note: substantial text overlap with arXiv:2105.07620 

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Recent Advances in Leveraging Human Guidance for Sequential Decision-Making Tasks



Ruohan Zhang , Faraz Torabi , Garrett Warnell , Peter Stone

* JAAMAS 35 (2021) 1-39 
* Springer journal, Autonomous Agents and Multi-Agent Systems (JAAMAS) 

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VOILA: Visual-Observation-Only Imitation Learning for Autonomous Navigation



Haresh Karnan , Garrett Warnell , Xuesu Xiao , Peter Stone

* Under Submission to IROS 2021 

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APPL: Adaptive Planner Parameter Learning



Xuesu Xiao , Zizhao Wang , Zifan Xu , Bo Liu , Garrett Warnell , Gauraang Dhamankar , Anirudh Nair , Peter Stone

* arXiv admin note: text overlap with arXiv:2011.00400 

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RAIL: A modular framework for Reinforcement-learning-based Adversarial Imitation Learning



Eddy Hudson , Garrett Warnell , Peter Stone


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