Here are some videos from my research on Robotics. *: Research Mentor as Visiting Faculty at Purdue.

A Control-Barrier-Function-Based Algorithm for Policy Adaptation in Reinforcement Learning
Wenjian Hao, Zehui Lu^*, Nicolas Miguel, Shaoshuai Mou
Under Review by a Robotics Journal

Trajectory Prediction via Bayesian Intention Inference under Unknown Goals and Kinematics
Shunan Yin, Zehui Lu^*, Shaoshuai Mou
Under Review by a Robotics Journal

Online Intention Prediction via Control-Informed Learning
Tianyu Zhou, Zihao Liang, Zehui Lu^*, Shaoshuai Mou
Under Review by a Control Conference

Reward-Based Collision-Free Algorithm for Trajectory Planning of Autonomous Robots
Jose D. Hoyos, Tianyu Zhou, Zehui Lu^*, Shaoshuai Mou
IEEE Transactions on Automation Science and Engineering, 2025
[PDF]

Enhanced Agility and Safety in Mobile Manipulators through Centroidal Momentum-Based Motion Planning
Min Dai, Zehui Lu, Na Li, Yebin Wang
2025 European Control Conference (ECC)

Real-Time Multi-Robot Mission Planning in Cluttered Environment
Zehui Lu, Tianyu Zhou, Shaoshuai Mou
Robotics, 2024
[PDF] / [Code]

Multi-Robot Formation Control with Human-on-the-Loop
Tianyu Zhou, Zehui Lu^*, Shaoshuai Mou
Best Student Paper Award, 2024 IEEE 7th International Conference on Industrial Cyber-Physical Systems (ICPS), 2024
[PDF]

A Differentiable Dynamic Modeling Approach to Integrated Motion Planning and Actuator Physical Design for Mobile Manipulators
Zehui Lu, Yebin Wang
Journal of Field Robotics, 2024
[PDF]

Learning From Human Directional Corrections
Wanxin Jin, Todd D Murphey, Zehui Lu, Shaoshuai Mou
IEEE Transactions on Robotics, 2022
[PDF] / [Code]