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Mac Schwager

Reachable Polyhedral Marching (RPM): An Exact Analysis Tool for Deep-Learned Control Systems

Oct 15, 2022
Joseph A. Vincent, Mac Schwager

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* Submitted to IEEE Transactions on Neural Networks and Learning Systems

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Intention Communication and Hypothesis Likelihood in Game-Theoretic Motion Planning

Sep 26, 2022
Makram Chahine, Roya Firoozi, Wei Xiao, Mac Schwager, Daniela Rus

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* This work has been submitted to the IEEE for possible publication. Copyright may be transferred without notice, after which this version may no longer be accessible

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Learning Deep SDF Maps Online for Robot Navigation and Exploration

Aug 02, 2022
Gadiel Sznaier Camps, Robert Dyro, Marco Pavone, Mac Schwager

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* Added additional reference to Section II: Related Work, citing iSDF

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Game-Theoretic Planning for Autonomous Driving among Risk-Aware Human Drivers

May 01, 2022
Rohan Chandra, Mingyu Wang, Mac Schwager, Dinesh Manocha

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* Accepted to ICRA 2022

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FIG-OP: Exploring Large-Scale Unknown Environments on a Fixed Time Budget

Mar 12, 2022
Oriana Peltzer, Amanda Bouman, Sung-Kyun Kim, Ransalu Senanayake, Joshua Ott, Harrison Delecki, Mamoru Sobue, Mykel Kochenderfer, Mac Schwager, Joel Burdick, Ali-akbar Agha-mohammadi

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* 9 pages, 8 figures, 1 table

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Dojo: A Differentiable Simulator for Robotics

Mar 03, 2022
Taylor A. Howell, Simon Le Cleac'h, J. Zico Kolter, Mac Schwager, Zachary Manchester

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* submitted RSS 2022

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