Hanchen Lu
Papers
1
Total Citations
59
H-Index
1
About
Hanchen Lu is a leading researcher in multi-agent systems and autonomous robotics, with a primary focus on distributed control, pursuit-evasion dynamics, and safe navigation in complex environments. His most-cited work, "Distributed Pursuit of an Evader With Collision and Obstacle Avoidance" (2021, 59 citations), introduces pioneering real-time algorithms that enable multiple pursuers to cooperatively capture an evader while rigorously ensuring collision and obstacle avoidance. By planning control actions within safe, collision-free regions, Lu’s approach bridges the gap between theoretical multi-agent coordination and practical deployment in cluttered settings. This contribution has significant implications for applications ranging from drone swarms to search-and-rescue missions. Beyond this landmark paper, Lu’s research advances the understanding of distributed decision-making under safety constraints, earning him recognition for developing scalable, robust solutions that operate without centralized coordination. His work is widely cited by scholars in robotics, control theory, and artificial intelligence, reflecting its impact on both foundational theory and real-world system design. Lu continues to push boundaries in autonomous systems, making him a key figure for students and researchers exploring safe, cooperative multi-robot control.
Research Focus
Key Achievements
Top Papers
- 1Distributed Pursuit of an Evader With Collision and Obstacle Avoidance59 citations · 2021