🌈 Hi, there!

I am currently pursuing a Ph.D. degree at The Chinese University of Hong Kong, Shenzhen under the supervision of Prof. Junjie Hu. I received my Master’s degree in Control Science and Engineering from Shandong University in 2023, where I worked with Professor Yong Song.
My research interests focus on reinforcement learning and multi-robot systems. Currently, i am particularly interested in effective cooperation of heterogeneous multi-robot systems in complex scenarios.

🔥 News

2026.07: 🎉 One paper is acaccepted by IEEE Transactions on Systems, Man, and Cybernetics: Systems.
2025.11: 🎉 One paper is acaccepted by IEEE Robotics and Automation Letters.
2025.10: 🎉 National Scholarship at Shandong University.
2025.08: 🎉 One paper is acaccepted by Engineering Applications of Artificial Intelligence.
2025.07: 🎉 One paper is acaccepted by IEEE Transactions on Industrial Informatics.

An Intention-Guided Reinforcement Learning Approach with Dirichlet Energy Constraint for Heterogeneous Multi-Robot Cooperation, Heteng Zhang, Yunjie Jia, Zihao Sun, Yong Song, Bao Pang, Xianfeng Yuan, Rui Song, Simon X. Yang, IEEE Robotics and Automation Letters
An Adaptive Reinforcement Learning Approach with Trait-Awareness for Heterogeneous Multi-Robot Cooperative Pursuit, Heteng Zhang, Yunjie Jia, Yong Song, Bao Pang, Xianfeng Yuan, Rui Song, Simon X. Yang, Engineering Applications of Artificial Intelligence
Empowering Multi-Robot Flocking in Complex Environments via Effective Communication: A Deep Reinforcement Learning Approach, Yunjie Jia, Yong Song, Jiyu Cheng, Heteng Zhang, Wei Zhang, Rui Song, Simon X. Yang and Sam Kwong, IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS

Collaborative Control and Evolution of Multi-Service Robots Based on Swarm Intelligence

Heteng Zhang, Yunjie Jia, Di Feng, Yuxuan Cui

This project involves developing a system to enable multi-robot collaboration, constructing and deploying the physical mobile robot platform.
We propose a reinforcement learning method to achieve efficient coordination of multiple robots.

Cooperation of heterogeneous multi-robot systems in search-and-rescue scenarios

Heteng Zhang, Yuxuan Cui，Di Feng

A novel intention-guided reinforcement learning approach is proposed to facilitate the learning of far-sighted strategies and enhances adaptability in non-stationary environments.
We deploy the trained policies on physical mobile robot platform.

2025.10 National Scholarship.
2023.10 First Prize in China Robotics Competition and RoboCup China Regional Competition (5th Place Nationwide).
2023.04 Second Prize in RoboMaster Mech Master University League Competition.
2023.04 Second Prize in China University Intelligent Robot Creative Competition.
2021.12 First-Class Scholarship from the Hong Kong Sangma Foundation (Top 1%).
2021.12 Second Prize in TI Cup National Undergraduate Electronic Design Competition.
2021.11 Champion of Intelligent Robot Creative Competition in Zhejiang Province.
2021.08 Second Prize in RoboMaster Mech Master University Individual Competition.
2020.12 Zhejiang Provincial Government Scholarship (Top 5%).
2020.12 First Prize in Intelligent Robot Creative Competition in Zhejiang Province.

Major: Control Science and Engineering GPA: 3.90 / 4

Major: Automation GPA: 3.75 / 4 (Top 3%)