<h1>Burdick, Joel</h1>
<h2>Conference Item from <a href="https://authors.library.caltech.edu">CaltechAUTHORS</a></h2>
<ul>
<li>Thakker, Rohan and Paton, Michael, el al. (2023) <a href="https://authors.library.caltech.edu/records/mk40y-46461">EELS: Towards Autonomous Mobility in Extreme Terrain with a Versatile Snake Robot with Resilience to Exteroception Failures</a>; ISBN 978-1-6654-9190-7; 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS); 9886-9893; <a href="https://doi.org/10.1109/iros55552.2023.10341448">10.1109/iros55552.2023.10341448</a></li>
<li>Li, Albert H. and Culbertson, Preston, el al. (2023) <a href="https://authors.library.caltech.edu/records/2xx4a-j4h16">FRoGGeR: Fast Robust Grasp Generation via the Min-Weight Metric</a>; ISBN 978-1-6654-9190-7; 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS); 6809-6816; <a href="https://doi.org/10.1109/iros55552.2023.10341806">10.1109/iros55552.2023.10341806</a></li>
<li>Cheng, Richard and Orosz, Gábor, el al. (2019) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20190410-120654801">End-to-End Safe Reinforcement Learning through Barrier Functions for Safety-Critical Continuous Control Tasks</a>; <a href="https://doi.org/10.48550/arXiv.1903.08792">10.48550/arXiv.1903.08792</a></li>
<li>Li, Kun and Burdick, Joel W. (2017) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20190410-120626845">Meta Inverse Reinforcement Learning via Maximum Reward Sharing for Human
Motion Analysis</a>; <a href="https://doi.org/10.48550/arXiv.1710.03592">10.48550/arXiv.1710.03592</a></li>
</ul>