Zehui Lu

According to our database, Zehui Lu authored at least 23 papers between 2016 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

A Control-Barrier-Function-Based Algorithm for Policy Adaptation in Reinforcement Learning.

Wenjian Hao, Zehui Lu, Nicolas Miguel, Shaoshuai Mou

CoRR, October, 2025

Trajectory Prediction via Bayesian Intention Inference under Unknown Goals and Kinematics.

Shunan Yin, Zehui Lu, Shaoshuai Mou

CoRR, September, 2025

Integrated Optimal Fast Charging and Active Thermal Management of Lithium-Ion Batteries in Extreme Ambient Temperatures.

Zehui Lu, Hao Tu, Huazhen Fang, Yebin Wang, Shaoshuai Mou

IEEE Trans. Control. Syst. Technol., March, 2025

Reward-Based Collision-Free Algorithm for Trajectory Planning of Autonomous Robots.

Jose D. Hoyos, Tianyu Zhou, Zehui Lu, Shaoshuai Mou

CoRR, February, 2025

A differentiable dynamic modeling approach to integrated motion planning and actuator physical design for mobile manipulators.

Zehui Lu, Yebin Wang

J. Field Robotics, January, 2025

Online Control-Informed Learning.

Zihao Liang, Tianyu Zhou, Zehui Lu, Shaoshuai Mou

Trans. Mach. Learn. Res., 2025

Enhanced Agility and Safety in Mobile Manipulators through Centroidal Momentum-Based Motion Planning.

Min Dai, Zehui Lu, Na Li, Yebin Wang

Proceedings of the 2025 European Control Conference, 2025

A Real-Time High C-Rate Lithium-Ion Battery Fast Charging Strategy.

Zehui Lu, Hao Tu, Huazhen Fang, Yebin Wang, Shaoshuai Mou

Proceedings of the IEEE Conference on Control Technology and Applications, 2025

2024

Real-Time Multi-Robot Mission Planning in Cluttered Environment.

Zehui Lu, Tianyu Zhou, Shaoshuai Mou

Robotics, March, 2024

Distributed optimization under edge agreements: A continuous-time algorithm.

Zehui Lu, Shaoshuai Mou

Syst. Control. Lett., 2024

Torque Constraint Modeling and Reference Shaping for Servo Systems.

Zehui Lu, Tianpeng Zhang, Yebin Wang

IEEE Control. Syst. Lett., 2024

A Distributed Deep Koopman Learning Algorithm for Control.

Wenjian Hao, Zehui Lu, Devesh Upadhyay, Shaoshuai Mou

CoRR, 2024

Distributed Optimization under Edge Agreement with Application in Battery Network Management.

Zehui Lu, Shaoshuai Mou

CoRR, 2024

Integrated Optimal Control for Fast Charging and Active Thermal Management of Lithium-Ion Batteries in Extreme Ambient Temperatures.

Zehui Lu, Hao Tu, Huazhen Fang, Yebin Wang, Shaoshuai Mou

CoRR, 2024

Multi-Robot Formation Control with Human-on-the-Loop.

Tianyu Zhou, Zehui Lu, Shaoshuai Mou

Proceedings of the 7th IEEE International Conference on Industrial Cyber-Physical Systems, 2024

Distributed Co-Design of Motors and Motions for Robotic Manipulators.

Zehui Lu, Yebin Wang, Yusuke Sakamoto, Shaoshuai Mou

Proceedings of the European Control Conference, 2024

2023

Learning From Human Directional Corrections.

Wanxin Jin, Todd D. Murphey, Zehui Lu, Shaoshuai Mou

IEEE Trans. Robotics, February, 2023

A Distributed Algorithm for Multi-Agent Optimization under Edge-Agreements.

Zehui Lu, Shaoshuai Mou

CoRR, 2023

Policy Learning based on Deep Koopman Representation.

Wenjian Hao, Paulo C. Heredia, Bowen Huang, Zehui Lu, Zihao Liang, Shaoshuai Mou

CoRR, 2023

DrMaMP: Distributed Real-time Multi-agent Mission Planning in Cluttered Environment.

Zehui Lu, Tianyu Zhou, Shaoshuai Mou

CoRR, 2023

Variable Sampling MPC via Differentiable Time-Warping Function.

Zehui Lu, Shaoshuai Mou

Proceedings of the American Control Conference, 2023

2022

Cooperative Tuning of Multi-Agent Optimal Control Systems.

Zehui Lu, Wanxin Jin, Shaoshuai Mou, Brian D. O. Anderson

Proceedings of the 61st IEEE Conference on Decision and Control, 2022

2016

A novel collaborative filtering recommendation algorithm based on user location.

Zhipeng Gao, Zehui Lu, Nanjie Deng, Kun Niu

Proceedings of the IEEE International Conference on Consumer Electronics-Taiwan, 2016