Lu Zhou
Papers
9
Total Citations
71
H-Index
5
About
Lu Zhou is a leading researcher in robotics and intelligent control systems, with a focus on pneumatic artificial muscle (PAM) actuators, compliant robotic manipulation, and humanoid table-tennis robots. His most impactful work includes developing prescribed-time adaptive fuzzy control for PAM-actuated parallel robots (18 citations), which addresses the high nonlinearities and input constraints inherent in these bio-inspired actuators. Zhou also pioneered online minimum-acceleration trajectory planning under kinematic constraints (16 citations) and created a nonlinear output feedback observer for ball flight trajectory prediction in table-tennis robots (15 citations), a project supported by China’s national 863 program. His recent contributions include proxy-based sliding mode force control for compliant grinding using diagonal recurrent neural networks and Prandtl-Ishlinskii hysteresis compensation (5 citations), as well as a robot intelligent grasping experimental platform combining Jetson NANO and machine vision (6 citations). Zhou’s work spans from theoretical control design to practical implementation, including variable stiffness estimation for series elastic actuators and path planning for mobile robots in unknown environments. With a career marked by innovative solutions to complex robotic challenges, Zhou continues to advance the fields of adaptive control, humanoid robotics, and intelligent manufacturing.
Research Focus
Key Achievements
Top Papers
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- 3Ball's flight trajectory prediction for table-tennis game by humanoid robot15 citations · 2009
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- 7Variable stiffness estimation of a Series Elastic Actuator3 citations · 2016
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