Chengkai Wu

Chengkai Wu （吴程锴）

I am currently pursuing a Ph.D. at The Hong Kong University of Science and Technology (Guangzhou), under the supervision of 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.

If you are interested in research opportunities or collaborations, feel free to reach out at chengkaiwuu@gmail.com.

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News

Jul2026 Invited talk and live demo at RSS 2026 Workshop on Human-Centered Mobile Manipulation.

Publications

I'm interested in motion planning, and mobile manipulation. Most of my research focuses on enabling mobile robots to move intelligently. Representative papers are highlighted.

* indicates equal contribution

	NEW Synergizing Efficiency and Reliability for Continuous Mobile Manipulation Chengkai Wu, Ruilin Wang, Yixin Zeng, Jiayuan Wang, Mingjie Zhang, Guiyong Zheng, Qun Niu, Juepeng Zheng, Jun Ma, Boyu Zhou In Submission video arXiv A unified framework that synergizes efficiency and reliability for continuous mobile manipulation.
	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 paper 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 paper code A flexible radio mapping framework.
	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) project page video paper code Oral Popular paper - Rank 14 (July 2025) A real-time motion planning method for safe, agile, and feasible mobile manipulation.

Projects

	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

	UFUG1103 - Calculus II (Spring 2026) Teaching Assistant This course is the second in a year-long introductory sequence in one-variable calculus for first-year undergraduates. Topics include integrals, numerical methods, applications, and infinite series.
	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

Conference Reviewer: ICRA

Journal Reviewer: T-ASE, RAL

Template credits: Jon Barron