Mengyuan Xing
Papers
1
Total Citations
32
H-Index
1
About
Mengyuan Xing is a prominent researcher in multi-robot systems, with a core focus on formation control, obstacle avoidance, and observer-based coordination strategies. Their most cited work, "Observer-Based Leader-Following Formation Control for Multi-Robot With Obstacle Avoidance" (2018, 32 citations), introduces a novel framework where follower robots track a leader’s trajectory while dynamically avoiding obstacles, using an observer to estimate states and enhance robustness. This contribution addresses critical challenges in decentralized robotics, enabling safer and more reliable swarm operations. Xing’s research has significant implications for autonomous navigation, search-and-rescue missions, and industrial automation. With 32 citations on this key paper, their work is recognized for bridging theoretical control theory with practical multi-robot applications. Xing’s achievements include advancing the leader-follower paradigm by integrating real-time obstacle avoidance, a problem that remains central to modern robotics. Their findings continue to inspire new approaches in cooperative control, making them a valuable voice in the field. For students and researchers, Xing’s work offers a clear, impactful example of how observer-based methods can solve complex coordination tasks in dynamic environments.
Research Focus
Key Achievements
Top Papers
- 1