Kensuke Nakamura
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I am a Ph.D. student at the Carnegie Mellon University Robotics Institute where I am advised by Prof. Andrea Bajcsy. My research leverages the synergy between robust optimal control and generative models to allow robots to safely operate in unstructured and uncertain environments. I develop theory and algorithms grounded in systems such as autonomous vehicles that use learned trajectory forecasters during planning or robotic manipulators that use world models to understand nuanced safety constraints. I am fortunate to be supported by the NSF Graduate Research Fellowship.
Previously, I graduated from Princeton University where I was advised by Jaime Fernández Fisac and Naomi Ehrich Leonard. I’ve also had the pleasure of collaborating with Somil Bansal.
E-mail / Google Scholar / Github / Twitter
news
Feb 03, 2025 | New paper on generalizing Hamilton-Jacobi reachability for constraints beyond collision-avoidance by leveraging the representations learned by world models. Check out our project website here |
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Dec 19, 2024 | I was selected as a 2025 HRI Pioneer. Super excited to meet everyone in Melbourne! |
Sep 05, 2024 | Our paper which derives a generalized regret metric to automatically extract system-level trajectory prediction failures was just accepted to the 2024 Conference on Robot Learning! |
Jul 19, 2024 | Deception Game won the Best Presentation Award at the RSS ‘24 Safe Autonomy workshop! |
Apr 04, 2024 | I was awarded the NSF GRFP! |
latest posts
selected publications
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- CoRLNot All Errors Are Made Equal: A Regret Metric for Detecting System-level Trajectory Prediction FailuresIn 8th Annual Conference on Robot Learning, 2024
- CoRLDeception Game: Closing the Safety-Learning Loop in Interactive Robot AutonomyIn 7th Annual Conference on Robot Learning, 2023
- CDCEmergent Coordination through Game-Induced Nonlinear Opinion DynamicsIn 2023 62nd IEEE Conference on Decision and Control (CDC), 2023
- ICRAOnline Update of Safety Assurances Using Confidence-Based PredictionsIn 2023 International Conference on Robotics and Automation (ICRA), 2023