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

Apr 23, 2025 Our paper on generalizing safety analysis for constraints beyond collision-avoidance was just accepted to RSS 2025!
Apr 07, 2025 I gave a talk to the SAIDS lab at USC! Later this month I’ll be giving a talk to the HERALD lab at TU Delft!
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
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!

latest posts

selected publications

  1. frontfig_latentsafety3.png
    Generalizing Safety Beyond Collision-Avoidance via Latent-Space Reachability Analysis
    Kensuke Nakamura, Lasse Peters, and Andrea Bajcsy
    2025
  2. CoRL
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    Not All Errors Are Made Equal: A Regret Metric for Detecting System-level Trajectory Prediction Failures
    Kensuke Nakamura, Ran Tian, and Andrea Bajcsy
    In 8th Annual Conference on Robot Learning, 2024
  3. CoRL
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    Deception Game: Closing the Safety-Learning Loop in Interactive Robot Autonomy
    Haimin Hu, Zixu Zhang, Kensuke Nakamura, and 2 more authors
    In 7th Annual Conference on Robot Learning, 2023
  4. CDC
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    Emergent Coordination through Game-Induced Nonlinear Opinion Dynamics
    Haimin Hu, Kensuke Nakamura, Kai-Chieh Hsu, and 2 more authors
    In 2023 62nd IEEE Conference on Decision and Control (CDC), 2023
  5. ICRA
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    Online Update of Safety Assurances Using Confidence-Based Predictions
    Kensuke Nakamura, and Somil Bansal
    In 2023 International Conference on Robotics and Automation (ICRA), 2023