Max Robotics — Global Service Robot Directory + US Certification

About

Haitao Zhou is a robotics researcher specializing in the dynamics, control, and locomotion of legged and wheel-legged robotic systems. His work focuses on enabling robots to perform complex, agile maneuvers—such as configuration transformation, vertical jumping, and self-balancing—through advanced control strategies. Zhou’s most cited paper (2021, 16 citations) introduces a novel inverse dynamics control method for wheel-legged robots, allowing them to change multilink configurations on an inverted equilibrium manifold while maintaining balance with minimal drift. He has also made significant contributions to hydraulic single-legged robots, developing trajectory planning and landing buffer control for load-bearing jumps (2019, 8 citations). In the realm of two-wheeled robots, Zhou has explored reinforcement learning for self-balance control (2019, 5 citations), and he has applied gain scheduling control based on linear parameter-varying systems to wheel-legged robot balance (2019, 3 citations). His research bridges theoretical control methods and practical robotic applications, with a clear impact on the fields of dynamic locomotion and robot stability.