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.

profile photo

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
In Submission
video

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
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
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
2024 IEEE International Conference on Robotics and Automation (ICRA 2024)
project page video paper code Oral Popular - 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

A perception, planning and control framework for autonomous drone racing using stereo camera.

DJI RoboMaster 2022-2023 University AI Challenge Competition
Second Place

A perception, planning and control framework for autonomous drone racing using stereo camera.

Teaching

Calculus II course
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 teaching camp
RBCC Phase 3 - Red Bird Challenge Camp (Summer 2025)
Teaching Assistant

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


Template credits: Jon Barron