Xuandong Su

Papers

Total Citations

H-Index

About

Xuandong Su is a robotics researcher whose work focuses on bio-inspired locomotion, multi-robot coordination, and autonomous navigation in complex, obstacle-rich environments. His research centers on developing intelligent control strategies for snake-like robots and miniature mobile robot teams, addressing fundamental challenges in sensing, path planning, and formation control. In his most cited work, Su pioneered obstacle avoidance for snake-like robots by integrating laser radar and ultrasonic sensors through multi-sensor information fusion, enabling safe, collision-free navigation in unknown terrains. He further advanced the field by designing a novel rope-drive snake-like robot that replaces traditional joint mechanisms with friction-based cable actuation, improving flexibility and obstacle traversal. Su also made significant contributions to cooperative control, developing decentralized formation strategies for miniature robots with limited sensing and communication capabilities, allowing them to navigate unknown environments collaboratively. His research, with papers accumulating citations in the robotics community, has practical implications for search-and-rescue, inspection, and exploration missions where traditional wheeled or legged robots struggle. Su’s work exemplifies how biological principles and sensor fusion can create more adaptable, resilient robotic systems.