Kexu Zou
Papers
1
Total Citations
20
H-Index
1
About
Kexu Zou is a leading researcher in biomimetic robotics and cooperative control systems, with a particular focus on autonomous underwater vehicles. His groundbreaking work on multi-agent coordination for robotic fish has significantly advanced the field of bio-inspired swarm robotics. In his most cited paper, "Cooperative control for trajectory tracking of robotic fish" (2009, 20 citations), Zou introduced a neural network-based sliding mode control method that enables multiple biomimetic robotic fish to precisely track trajectories in coordinated formations. This work is notable for establishing a real experimental testbed for multi-robot cooperation, bridging the gap between theoretical control algorithms and practical implementation. Zou's contributions have been instrumental in developing robust, adaptive control strategies that allow underwater robots to operate effectively in complex, dynamic environments. His research has implications for environmental monitoring, underwater exploration, and search-and-rescue missions, demonstrating how biological principles can inspire more efficient and resilient robotic systems.
Research Focus
Key Achievements
Top Papers
- 1Cooperative control for trajectory tracking of robotic fish20 citations · 2009