Max Robotics — Global Service Robot Directory + US Certification

About

Mingkun Wu is a robotics and automation researcher whose work centers on the dynamics, control, and trajectory optimization of advanced robotic systems, with particular emphasis on parallel and hybrid manipulators. His most recognized contribution, "Vibration Reduction of Delta Robot Based on Trajectory Planning" (2020), has garnered 57 citations and addresses a critical challenge in high-speed industrial robotics — minimizing residual vibration through intelligent motion planning, directly benefiting sectors such as food processing, pharmaceuticals, electronics, and defense manufacturing. Complementing this, his work on disturbance observer-based trajectory tracking control tackles the inherent nonlinearities and uncertain dynamics of delta parallel robots, offering more robust controller designs for demanding manufacturing environments. Wu has also advanced the understanding of 5-degree-of-freedom hybrid manipulators, developing global coupling indices to simplify dynamic analysis and improve rigidity — work with clear implications for aerospace and automotive manufacturing. His more recent research on self-adaptive sliding mode control further demonstrates his commitment to solving real-world challenges in drilling and milling of large, complex components. Wu's body of work reflects a consistent focus on bridging theoretical robotics with practical industrial applications.