Papers
11
Total Citations
304
H-Index
7
About
Dengxiu Yu is a leading researcher in swarm robotics and intelligent control systems, whose work focuses on the coordination and decision-making of multi-robot systems. His major contributions lie in developing advanced control strategies for omnidirectional mobile robots, particularly through innovations in fuzzy swarm control, sliding-mode strategies, and adaptive control under input saturation. Yu’s research addresses critical challenges such as chattering in sliding-mode control and coupling dynamics in swarm formations, with notable works like “Fuzzy Swarm Control Based on Sliding-Mode Strategy” (110 citations) and “Adaptive Swarm Control Within Saturated Input” (44 citations). He has also pioneered the integration of reinforcement learning with expert systems for swarm robot decision-making, as seen in his highly cited 2022 paper on multiagent deep deterministic policy gradient (31 citations). Yu’s impact is reflected in over 300 total citations across his top papers, demonstrating significant influence in the field. His achievements include advancing self-organized topology networks and model predictive control for nonholonomic robots, making him a key figure in the evolution of autonomous swarm systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4
- 5
- 6
- 7
- 8
- 9
- 10