People

Yuxiao Chen

I am a research scientist associated with the autonomous vehicle research group at Nvidia. I'm interested in planning and decision making of safety-critical autonomous systems and multi-agent systems.  

I got my Bachelor's degree from Tsinghua University in 2013 and my Ph.D. from University of Michigan in 2018. I spent 3 years as a postdoc at Caltech before joining Nvidia in 2021. I have worked on safety-critical control and planning for autonomous vehicles, ground and aerial robots, and power networks during my Ph.D. and postdoc years, and now I mainly focus on autonomous vehicles. My recent work concerns trajectory prediction and contingency planning for autonomous vehicles.

Please check Google Scholar for publications.

 

Research Area(s)
Autonomous Vehicles
Resilience and Safety
Robotics
Main Field of Interest
Autonomous Vehicles
Google Scholar
https://scholar.google.com/citations?user=AOdxmJYAAAAJ&hl=en

Publications

2023

Interpretable Trajectory Prediction for Autonomous Vehicles via Counterfactual Responsibility
Kai-Chieh Hsu, Karen Leung, Yuxiao Chen, Jaime Fernandez Fisac, Marco Pavone
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
Refining Obstacle Perception Safety Zones via Maneuver-Based Decomposition
Sever Topan, Yuxiao Chen, Ed Schmerling, Karen Leung, Jonas Nilsson, Michael Cox, Marco Pavone
IEEE Intelligent Vehicles Symposium (IV)
BITS: Bi-level Imitation for Traffic Simulation
Danfei Xu, Yuxiao Chen, Boris Ivanovic, Marco Pavone
IEEE International Conference on Robotics and Automation (ICRA) 2023
Receding Horizon Planning with Rule Hierarchies for Autonomous Vehicles
Sushant Veer, Karen Leung, Ryan Cosner, Yuxiao Chen, Marco Pavone
IEEE International Conference on Robotics and Automation (ICRA) 2023
Guided Conditional Diffusion for Controllable Traffic Simulation
Ziyuan Zhong, Davis Rempe, Danfei Xu, Yuxiao Chen, Sushant Veer, Gerry Che, Baishakhi Ray, Marco Pavone
IEEE International Conference on Robotics and Automation (ICRA) 2023
Tree-structured Policy Planning with Learned Behavior Models
Yuxiao Chen, Peter Karkus, Boris Ivanovic, Xinshuo Weng, Marco Pavone
IEEE International Conference on Robotics and Automation (ICRA) 2023

2022

ScePT: Scene-consistent, Policy-based Trajectory Predictions for Planning
Yuxiao Chen, Boris Ivanovic, Marco Pavone
IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2022
Interaction-Dynamics-Aware Perception Zones for Obstacle Detection Safety Evaluation
Sever Topan, Karen Leung, Yuxiao Chen, Pritish Tupekar, Edward Schmerling, Jonas Nilsson, Michael Cox, Marco Pavone
IEEE Intelligent Vehicles Symposium (IV) 2022
Verification and Synthesis of Robust Control Barrier Functions: Multilevel Polynomial Optimization and Semidefinite Relaxation
Shucheng Kang, Yuxiao Chen, Heng Yang, Marco Pavone
IEEE Conference on Decision and Control (CDC)