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. Boyu Zhou and Prof. Jun Ma since February 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 STAR Group supervised by Boyu Zhou.

Email / CV / Scholar / Twitter / Github / Zhihu / WeChat

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

	ApexNav: An Adaptive Exploration Strategy for Zero-Shot Object Navigation with Target-centric Semantic Fusion Mingjie Zhang, Yuheng Du, Chengkai Wu, Jinni Zhou, Zhenchao Qi, Jun Ma, Boyu Zhou 2025 IEEE Robotics and Automation Letters (RAL 2025) project page / video / arXiv / code A zero-shot object navigation framework that is both more efficient and reliable.
	FERMI: Flexible Radio Mapping with a Hybrid Propagation Model and Scalable Autonomous Data Collection Yiming Luo, Yunfei Wang, Hongming Chen, Chengkai Wu, Ximin Lyu, Jinni Zhou, Jun Ma, Fu Zhang, Boyu Zhou 2025 Robotics: Science and Systems (RSS 2025) arXiv / code A flexible radio mapping framework.
	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 In Submission 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 In Submission 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) Oral / Popular Rank 14 (July 2025) project page / oral video / video / paper / code A motion planning method capable of generating high-quality, safe, agile and feasible trajectories for mobile manipulators in real time. This is how my story begins.

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.

Teaching

RBCC Phase 3 - Red Bird Challenge Camp (Summer 2025)
Teaching Assistant
Siqi Cai, Yangyang Feng, Zhihan Guo, Jiahe Guang, Shixiong Zhou, Yawen Lai, Langdi Li, Chengjun Ma, Jingyi Yao, Zhenyue Zhang, Chengkai Wu(TA)

The Red Bird Challenge Camp (RBCC) is an innovative teaching through practice activity, aims to cultivate the comprehensive ability of college students.

Reviewer

IEEE Transactions on Automation Science and Engineering (T-ASE)

The IEEE Transactions on Automation Science and Engineering (T-ASE) publishes fundamental papers on Automation, emphasizing scientific results that advance efficiency, quality, productivity, and reliability.

Template credits: Jon Barron