About me
I am currently working in Autonomous Driving R&D at Baidu Apollo, focusing on decision-making and trajectory planning. My work also involves trajectory prediction and exploring reinforcement learning–based methods for model fine-tuning. I received my master’s degree in Robotics, Systems and Control (RSC) from ETH Zurich in 2024, and my bachelor’s degree in Mechanical Engineering from Wuhan University in 2021.
Experience
Research & Development in Autonomous Driving (2024.08 - Now, Baidu Apollo)
- Focusing on Decision-Making and Trajectory Planning, with an emphasis on Vulnerable Road Users (VRUs), including pedestrians and cyclists
- Working on Trajectory Prediction and exploring RL-based methods to fine-tune prediction models
M.S. Robotics, Systems and Control (2021.09 - 2024.06, ETH Zurich)
- Tutor: Prof. Emilio Frazzoli
- Master thesis: proposed a novel graph search algorithm and its application to active perception for legged robots (supervised by Prof. Dr. Marco Hutter, more details available in “Research” section)
- Completed coursework and projects in Robot Dynamics, Dynamic Programming, Optimal Control, Model Predictive Control, Visual Odometry, Deep Learning (Semantic Segmentation, Depth Estimation, 3D Object Detection), Bayesian Optimization, Reinforcement Learning, and High-Performance Computing
Decision Making and Motion Planning Intern (2023.02 - 2023.08, Qcraft)
- Focused on leveraging neural planner outputs to guide downstream search, significantly improving computational efficiency without sacrificing performance
B.S. Mechanical Engineering (2017.09 - 2021.06, Wuhan University)
- Studied Mechanical Design, Theoretical Mechanics, Mechanics of Materials, Electrical Engineering, Control Theory, etc
- Bachelor thesis: Mechanical Design of an inspection robot and Motion Planning for its robotic arm
- Ranked top 2% and awarded the National Scholarship twice
Research Assistant (2020.04 - 2020.10, University of Wisconsin, Madison)
- Focused on Motion Planning Algorithms, including search-based, sampling-based, and optimization-based approaches