Wu Guokui
Papers
1
Total Citations
17
H-Index
1
About
Dr. Guokui Wu is a leading researcher in industrial robotics, with a primary focus on enhancing human-robot interaction safety through advanced collision detection and reaction systems. His most influential work, "A momentum-based collision detection algorithm for industrial robots" (2015), has garnered 17 citations and represents a significant contribution to the field. In this seminal paper, Dr. Wu introduced a novel algorithm that leverages generalized momentum to decouple external torques from the manipulator’s dynamics, enabling precise identification of collision forces and their locations. This innovation allows robots to react safely and intelligently upon impact, a critical advancement for collaborative environments where humans and machines work in close proximity. By improving the safety and responsiveness of industrial robots, Dr. Wu’s research addresses a fundamental challenge in modern automation, paving the way for more versatile and trustworthy robotic systems. His work continues to influence the design of safer, more adaptive industrial robots, making him a respected voice in the robotics community.
Research Focus
Key Achievements
Top Papers
- 1A momentum-based collision detection algorithm for industrial robots17 citations · 2015