I received my Bachelor of Engineering (B.E.) in Computer Science and Engineering from Southern University of Science and Technology (SUSTech), Shenzhen, in June 2018. Following my undergraduate studies, I served as a Research Assistant at SUSTech. Subsequently, I pursued a collaborative Ph.D. program between SUSTech and the University of Technology Sydney (UTS) at the UTS Robotics Institute, supervised by Associate Professor Liang Zhao, Professor Shoudong Huang, and Professor Qi Hao (SUSTech). My research focuses on Simultaneous Localization and Mapping (SLAM), with specializations in active SLAM, multi-robot systems, motion planning, and deep reinforcement learning. I recently completed my Ph.D. at UTS.

Selected Publications:

• S. Chen, R. Han, L. Zhao, S. Huang and Q. Hao, “Multi-robot Feature-based SLAM using Submap Joining,” In Australasian Conference on Robotics and Automation, ACRA, 2021
• S. Chen, L. Zhao, S. Huang and Q. Hao, “Multi-robot Active SLAM based on Submap-joining for Feature-based Representation Environments,” In Australasian Conference on Robotics and Automation, ACRA, 2022
• S. Chen, Y. Sun, D. Li, Q. Wang, Q. Hao and J. Sifakis, “Runtime Safety Assurance for Learning-enabled Control of Autonomous Driving Vehicles,” In International Conference on Robotics and Automation, ICRA, 2022
• R. Han, S. Chen, S. Wang, Z. Zhang, R. Gao, Q. Hao and J. Pan, “Reinforcement Learned Distributed Multi-Robot Navigation With Reciprocal Velocity Obstacle Shaped Rewards,” in IEEE Robotics and Automation Letters, 2022
• R. Han, S. Chen and Q. Hao, “A Distributed Range-Only Collision Avoidance Approach for Low-cost Large-scale Multi-Robot Systems,” 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS, 2020
• R. Han, S. Chen and Q. Hao, “Cooperative Multi-Robot Navigation in Dynamic Environment with Deep Reinforcement Learning,” 2020 IEEE International Conference on Robotics and Automation, ICRA, 2020
• S. Wang, R. Gao, R. Han, S. Chen, C. Li and Q. Hao, “Adaptive Environment Modeling Based Reinforcement Learning for Collision Avoidance in Complex Scenes,” 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS, 2022

Research Interests：

Multi-robot simultaneous localization and mapping(MR-SLAM)

Active simultaneous localization and mapping(Robot exploration)

Active Gaussian Splatting

Ground vehicle path/trajectory planning and collision avoidance

Multi-robot deep reinforcement learning(For robot exploration)