Latest research: Multi-vehicle conflict resolution in highly constrained space
Hi there,
This is Xu Shen(沈煦)'s homepage. Welcome!
I am currently a Machine Learning Engineer at Uber, working on Autonomous Mobility & Delivery. Prior to this role, I was a Senior Mechanical/AI Engineer at WideSense.
I received my Ph.D. in Mechanical Engineering from the University of California, Berkeley. During my study and research, I was part of the Model-based Predictive Control (MPC) Lab, supervised by Prof. Francesco Borrelli. My research focus was the prediction, planning, and control of autonomous vehicles in tightly-constrained environments for better safety and efficiency.
RL and Optimal Control: conflict resolution in tight spaces by combining RL and model-based optimization
Perception and Control System for Autonomous Solar Panel Delivery (Demo available upon request)
Dragon Lake Parking (DLP) Dataset: the first 4k video dataset of vehicles and pedestrians in a parking lot
Behavior Prediction: Intent and Motion prediction for vehicles inside parking lots with CNN and Transformer
Ph.D. 2024: Mechanical Engineering, University of California, Berkeley
M.S. 2020, Mechanical Engineering, University of California, Berkeley
B.E. 2018, Mechanical Engineering, Tsinghua University
IEEE Transactions on Vehicular Technology
IEEE Transactions on Robotics
IEEE Transactions on Intelligent Vehicles
IEEE Transactions on Intelligent Transportation Systems
IEEE Transactions on Control Systems Technology
Computer Communications (Recognized Reviewer)
Journal of Systems Architecture
Journal of Asian Architecture and Building Engineering
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS),
IEEE Intelligent Vehicles Symposium (IV)
IEEE International Conference on Intelligent Transportation Systems (ITSC)
IEEE Vehicular Technology Conference (VTC)
American Control Conference (ACC)
Symposium on Systems Theory in Data and Optimization (SysDO)
IEEE International Conference on Vehicular Electronics and Safety (ICVES)
International Conference on Intelligent Robotics and Applications