Area of research
Control and Systems Engineering · Artificial Intelligence
Research interest
Research interests include Computer science, Artificial intelligence, Robot, Robotics, Certificate, and Transparency (behavior).
RADIUM: Predicting and Repairing End-to-End Robot Failures Using Gradient-Accelerated Sampling
AutoTAMP: Autoregressive Task and Motion Planning with LLMs as Translators and Checkers
Learning safe control for multi-robot systems: Methods, verification, and open challenges
Safe Control With Learned Certificates: A Survey of Neural Lyapunov, Barrier, and Contraction Methods for Robotics and Control
Shield Model Predictive Path Integral: A Computationally Efficient Robust MPC Method Using Control Barrier Functions
Learning Safe, Generalizable Perception-Based Hybrid Control With Certificates