Justin Lidard

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Welcome! I’m a PhD candidate at Princeton, where I work with Anirudha Majumdar and Naomi Leonard on robotics. During my PhD I’ve spent time at Toyota Research Institute working on human-interactive driving.

I design algorithms that enable robots to intelligently interact with and learn from people. One of my key interests is value alignment from an optimal control perspective: AI systems may offer strong performance but lack nuance in their understanding of intuitive and safe behaviors. To bridge this gap, I am working to enable robots to closely mimic people through imitation while optimizing their long-term behavior for safety and robustness. My long-term goal is to enable robots to recognize their own uncertainty and continuously adjust their strategies through feedback during training, evaluation, and deployment.

jlidard at princeton dot edu

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News

Feb 15, 2025 Really exciting new work on scaling up safety filters to high-dimensional, human-in-the-loop systems coming soon. Stay tuned!
Feb 01, 2025 DPPO is accepted to ICLR 2025. See you in Singapore!
Dec 01, 2024 New survey paper on uncertainty quantification in LLMs.
Sep 05, 2024 New preprint with Allen Ren on fine-tuning Diffusion Policies with PPO!
Mar 05, 2024 Two papers (KLGame, RCIP) accepted to RSS 2024. See you in Delft!

Selected Publications

  1. safetywithagency.gif
    Safety with Agency: Human-Centered Safety Filter with Application to AI-Assisted Motorsports
    Donggeon David Oh , Justin Lidard, Haimin Hu , and 8 more authors
    Under Review., 2025
  2. dppo-banner-v2.gif
    Diffusion Policy Policy Optimization
    Allen Z Ren , Justin Lidard, Lars L Ankile , and 6 more authors
    ICLR 2025 (to appear), 2025
  3. scenario_3agent_trimmed_v2.gif
    Blending Data-Driven Priors in Dynamic Games
    Justin Lidard, Haimin Hu , Asher Hancock , and 9 more authors
    Robotics: Science and Systems (RSS), 2024
  4. goodtake3_cut_handbrake.gif
    Risk-Calibrated Human-Robot Interaction via Set-Valued Intent Prediction
    Justin Lidard, Hang Pham , Ariel Bachman , and 2 more authors
    Robotics: Science and Systems (RSS), 2024