Chengkai Wu

Chengkai Wu 吴程锴

I am currently pursuing a Ph.D. at The Hong Kong University of Science and Technology (Guangzhou), supervised by Prof. Jun Ma since January 2025. Prior to this, I completed my Master's degree in Automation at Harbin Institute of Technology, Shenzhen (2022-2024). under the advisement of Jie Mei, I also received my B.Eng. in Electronic Information Engineering from Xidian University in 2022.

Since January 2023, I have concurrently served as a visiting researcher at SYSU-STAR Group supervised by Boyu Zhou.

Email / CV / Scholar / Twitter / Github

Research

I'm interested in motion planning, mobile manipulators, and unmanned aerial vehicles(UAVs). Most of my research is about enabling mobile robots move intelligently. Representative papers are highlighted.

* indicates equal contribution

A Whole-body Planning and Control Framework for Mobile Manipulators with End-effector Pose Constraints
Shuo Su, Tanghao Qin, Chengkai Wu, Jia Hu, Youmin Gong, Jie Mei
Submitted to IEEE Robotics and Automation Letters

A novel whole-body planning and control framework for a mobile manipulator, with end-effector pose constraints.

Real-time Planning for Interaction-Aware Autonomous Exploration with an Eye-in-hand Mobile Manipulator
Mianzhi Song, Chengkai Wu, Jinni Zhou, Jie Mei, Boyu Zhou
Submitted to 2025 IEEE International Conference on Robotics and Automation (ICRA 2025)
video

An interaction-aware exploration framework to thoroughly explore environments with obstructed spaces using an eye-in-hand mobile manipulator robot.

Real-time Whole-body Motion Planning for Mobile Manipulators Using Environment-adaptive Search and Spatial-temporal Optimization
Chengkai Wu*, Ruilin Wang*, Mianzhi Song, Fei Gao, Jie Mei, Boyu Zhou
2024 IEEE International Conference on Robotics and Automation (ICRA 2024)
paper / project page / video / code

A motion planning method capable of generating high-quality, safe, agile and feasible trajectories for mobile manipulators in real time.

Projects

	Air-Ground Coordinated Patrol and Tracking Yiming Luo, Mingjie Zhang, Chengkai Wu, Boyu Zhou Traversable map generation and yaw-constrained trajectory optimization for quadrotors.
	DJI RoboMaster 2023-2024 University AI Challenge Competition - Classic Third Place Chenxin Yu, Yuhao Fang, Zihong Lu, Xinlu Yan, Chengkai Wu(Co-Advisor), Jie Mei A perception, planning and control framework for autonomous drone racing using stereo camera.
	DJI RoboMaster 2022-2023 University AI Challenge Competition Second Place Chengkai Wu(Team Leader), Zihan Gu, Aoqi Li, Jiangyuan Yue, Muqi Li, Guangyang Li, Lihong Li, Feng Tu, Jie Mei A perception, planning and control framework for autonomous drone racing using stereo camera.

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