About me
Hello! I’m Mingjie Zhang (张明杰), an MPhil student at The Hong Kong University of Science and Technology (Guangzhou), under the supervision of Prof. Boyu ZHOU and Prof. Jun MA.
My research interests lie in Robotics and Embodied AI, with a particular focus on:
- Aerial Reconstruction/Exploration
- Vision-Language Navigation
Education
MPhil, The Hong Kong University of Science and Technology (Guangzhou) 2024 – Present
B.Eng, School of Electronics and Information, Northwestern Polytechnical University 2020 – 2024
Experience
- STARLab, SUN YAT-SEN University
- Research Assistant Zhuhai, China 2023.07 – 2024.09
- Worked on Autonomous Aerial Reconstruction and Multi-robot Systems in collaboration with Prof. Boyu ZHOU.
- Northwestern Polytechnical University Football Robot Team
- Captain of the Humanoid Robot Team Xi’an, China 2022.07 – 2023.07
- Provided robot hardware/software technical support and achieved multiple national-level robotics awards.
Publications
(* stands for equal contribution, † stands for corresponding authors)
Selected Projects
Design and Development of Titan: A Humanoid Combat Robot
July 2021 - July 2022
- Designed the mechanical structure and developed circuit boards for robot control, along with a corresponding remote control.
- Developed control and communication APIs, and created a user-friendly PC-based motion editing visualization interface.
- Awarded the National-level Outstanding Achievement in Innovation and Entrepreneurship for College Students and successfully selected for the 16th National College Students’ Innovation and Entrepreneurship Annual Conference.

The System of Multi-sensor Fusion Based Teleoperation of Robotic Manipulator
September 2022 - May 2023
- Utilized an eye tracker and RealSense to locate the position of the gripping target and employed Kinect to obtain human arm posture information for grip solution derivation.
- Utilized A* algorithm for path planning and polynomial interpolation for trajectory generation. Established a secure channel along the trajectory to facilitate manipulator control via force feedback during teleoperation.
- Real-world experiments demonstrated a 36% accuracy improvement over traditional teleoperation methods.

UAV Swarm Formation Transformation
July 2023 - November 2023
- Enhanced the localization accuracy of UAV swarms through the fusion of UWB, IMU, and vision technologies.
- Utilized the Hungarian algorithm to optimize task allocation for drone formation transformation, minimizing energy consumption. Conducted real-world experimentation for validation.


Selected Honors
- 2024 IEEE International Conference on Robotics and Automation Best Paper Award on UAV Finalists, 2024, IEEE Robotics & Automation Society
- National Scholarship, 2022, 2023, Ministry of Education of P.R. China
- Outstanding Graduate, 2024, Northwestern Polytechnical University
- Outstanding Student, 2021, 2022, 2023, Northwestern Polytechnical University
- National Robot Championship Competition First Prize, 2021, 2022, CAAI
- International Underwater Robot Competition First Prize, 2021, Organizing Committee of IURC