Xiang‐Yu Yao
Papers
7
Total Citations
238
H-Index
7
About
Dr. Xiang-Yu Yao is a leading researcher in the field of cooperative control for multi-robot systems, with a particular focus on networked underactuated and heterogeneous robotic platforms. His work addresses fundamental challenges in distributed coordination, including event-triggered consensus, formation-containment control, and task-space tracking under uncertainties and communication delays. Dr. Yao has developed novel hierarchical controller–estimator algorithms that enable fixed-time convergence and robust performance even with directed graphs and parameter uncertainties. His most cited paper, "Event-Triggered Consensus Control for Networked Underactuated Robotic Systems" (2020, 66 citations), presents pioneering event-triggered algorithms that guarantee state convergence while maintaining bounded velocities. Other highly influential works include his research on multi-target tracking of heterogeneous collaborative robots (54 citations) and disturbance-rejection tracking control (38 citations). Across his seven most-cited papers, Dr. Yao’s contributions have garnered over 238 citations, reflecting their significant impact on advancing the theory and application of distributed robotic coordination. His work is essential reading for researchers in multi-agent systems, cooperative robotics, and nonlinear control.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4
- 5
- 6
- 7