Yuxin Zhao
Papers
4
Total Citations
41
H-Index
3
About
Yuxin Zhao is a leading researcher in robotics and control systems, with a focus on adaptive control, bio-inspired robotics, and human-robot interaction. Their major contributions include developing a novel adaptive robust control approach for uncertain Euler-Lagrange systems using Gaussian processes, achieving high-precision tracking under time-varying disturbances—a work that has garnered 20 citations. Zhao also pioneered a real-time obstacle avoidance method for mobile robots using a modified particle swarm optimization (10 citations), addressing premature convergence and diversity loss in dynamic environments. In bio-inspired robotics, they designed a turtle-inspired robot with variable stiffness hydrofoils (8 citations), enabling efficient fast swimming and high maneuverability. More recently, Zhao proposed a double-loop human-robot shared control scheme for underwater trajectory tracking (3 citations), balancing autonomous tracking with operator commands. Their work spans from theoretical control innovations to practical robotic applications, demonstrating significant impact in both adaptive control and field robotics. Zhao’s research is particularly notable for integrating machine learning techniques like Gaussian processes into robust control frameworks, offering new pathways for uncertain system management.
Research Focus
Key Achievements
Top Papers
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