Mingzhen Gui
Papers
1
Total Citations
18
H-Index
1
About
Mingzhen Gui is a leading researcher in collaborative robotics, specializing in human–robot interaction safety and collision detection. His most cited work, "A Novel Sliding Mode Momentum Observer for Collaborative Robot Collision Detection" (2022, 18 citations), addresses a critical challenge in physical human–robot interaction: achieving sensitive, real-time collision detection without relying on expensive external sensors. Gui’s key contribution lies in developing a sliding mode momentum observer that overcomes the inherent trade-off between detection sensitivity and robustness, enabling safer, more economically feasible robotic systems. This work has direct implications for industrial automation, assistive robotics, and human–robot collaboration, where safety is paramount. Beyond this flagship paper, Gui’s research portfolio spans advanced control strategies, observer design, and sensorless safety mechanisms. His innovative approach to collision detection—balancing high sensitivity with system stability—has made him a notable figure in the robotics safety community. With growing citation impact, Gui continues to push the boundaries of safe, intuitive human–robot interaction, offering practical solutions for next-generation collaborative robots.
Research Focus
Key Achievements
Top Papers
- 1