About Me
I am currently working toward a Ph.D. degree in electrical and computer engineering, Princeton University. I am so fortunate to work with Prof. Jaime Fernández Fisac at Safe Robotics Lab.
Recently, I have been focusing on
- how to let learning-based autonomy safely operate in uncertain and unforeseen environments, especially safe exploration and bridging the sim2real gap.
- how to develop safe and efficient autonomy stack, especially prediction-planning intergration and interpretable lens into the stack.
- how to use game-theoretic reasoning for human intent inference and multiagent planning.
Prior to joining Princeton University, I was an undergraduate researcher in electrical engineering, National Taiwan University. I was a member of Access LAB (Prof. An-Yeu (Andy) Wu) focusing on intelligent reconstruction for compressed sensing ECG signals and a member of Group of Electromagnetic Applications (Prof. Jean-Fu Kiang) focusing on direction-of-arrival estimation of signals.
Recent News
- October 2023: I presented our paper “Interpretable Trajectory Prediction for Autonomous Vehicles via Counterfactual Responsibility” at IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) and give a talk “Role of Safety: from safety-critical control to safety-informed motion forecasting” at Formal methods techniques in robotics systems: Design and control.
- September 2023: Our paper “The Safety Filter: A Unified View of Safety-Critical Control in Autonomous Systems” was accepted to Annual Review of Control, Robotics, and Autonomous Systems (preprint online).
- July 2023: Our paper “Emergent Coordination through Game-Induced Nonlinear Opinion Dynamics” was accepted to IEEE Conference on Decision and Control (CDC).
- June 2023: Our paper “Fast, Smooth, and Safe: Implicit Control Barrier Functions through Reach-Avoid Differential Dynamic Programming” was accepted to IEEE Control Systems Letters.
- May 2023: I joined Qualcomm Research- behavior planning as an engineering intern. I am fortunate to work with Pranav Desai and Stephen Chaves on integration of the autonomous vehicle software stack.
- May 2023: Our paper “Interpretable Trajectory Prediction for Autonomous Vehicles via Counterfactual Responsibility” was accepted to IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
- March 2023: Our paper “ISAACS: Iterative Soft Adversarial Actor-Critic for Safety” was accepted to Learning for Dynamics and Control (L4DC).
- November 2022: Our paper “Sim-to-Lab-to-Real: Safe Reinforcement Learning with Shielding and Generalization Guarantees” was accepted to Special Issue on Risk-aware Autonomous Systems: Theory and Practice, Artificial Intelligence (Project Website).
- September 2022: I received Princeton ECE department teaching assistant award for developing the new Intelligent Robotic Systems course. Thank you Jaime, Zixu and Duy!
- May 2022: I joined NVIDIA Research Autonomous Vehicle Group as a research intern. I am fortunate to work with Karen Leung, Yuxiao Chen, and Marco Pavone on formalizing responsibility and infusing it into the prediction and planning modules of the autonomous vehicle software stack.