Shaoxin Sun
Papers
2
Total Citations
8
H-Index
2
About
Shaoxin Sun is an emerging researcher in the field of multi-robot systems, with a primary focus on formation control, target tracking, and obstacle avoidance. Their work addresses critical challenges in coordinating multiple mobile robots under real-world constraints, such as motion limitations and restricted field of view (FOV). In their 2024 paper, "Enclose and Track a Target of Mobile Robot With Motion and Field of View Constraints Based on Relative Position Measurement," Sun introduces a systematic approach for enclosing and tracking moving targets using only relative position measurements—a significant step toward practical, sensor-limited applications. This work has already garnered 4 citations, signaling its relevance to ongoing research. Sun’s 2023 study, "Formation Control and Obstacle Avoidance for Multi-Robot Systems," further contributes to the field by integrating kinematic modeling with trajectory planning to ensure safe, coordinated navigation. With a growing citation footprint and a focus on bridging theoretical control with real-world robotic constraints, Shaoxin Sun is establishing themselves as a promising voice in autonomous multi-agent systems, particularly in scenarios demanding robust, decentralized coordination.
Research Focus
Key Achievements
Top Papers
- 1
- 2Formation Control and Obstacle Avoidance for Multi-Robot Systems4 citations · 2023