Papers
31
Total Citations
363
H-Index
10
About
Mengyin Fu is a prominent robotics and control systems researcher whose work spans autonomous systems, human-robot interaction, and advanced motion planning. With a career centered at the intersection of robotics engineering and intelligent control, Fu has made significant contributions to collision avoidance and self-identification in robot manipulators, most notably through pioneering 3D point cloud-based obstacle detection methods for dual-arm robots, which has garnered over 50 citations. His influential work on gesture-based robot control using Leap Motion (47 citations) has helped shape intuitive human-robot interfaces, while his research on unmanned turret system modeling and compound control (36 citations) demonstrates his expertise in complex coupled mechanical systems. Fu's breadth is further evidenced by his development of the innovative amphibious "FroBot" robot and contributions to autonomous vehicle path planning. His edited volume *Advanced Technologies in Modern Robotic Applications* (33 citations) reflects his role as a synthesizer of cutting-edge robotics knowledge. Spanning networked data fusion, adaptive manipulator control, and rough-terrain trajectory tracking, Fu's body of work — accumulating over 260 citations — represents a comprehensive and enduring impact on modern robotics research and education.
Research Focus
Key Achievements
Top Papers
- 1Robot manipulator self-identification for surrounding obstacle detection51 citations · 2016
- 2Hand Gesture Based Robot Control System Using Leap Motion47 citations · 2015
- 3Modeling and Compound Control for Unmanned Turret System With Coupling36 citations · 2016
- 4Advanced Technologies in Modern Robotic Applications33 citations · 2016
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- 6Networked Data Fusion with Packet Losses and Variable Delays19 citations · 2009
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- 9Robot Kinematics and Dynamics Modeling12 citations · 2016
- 10Control methods of mobile robot rough-terrain trajectory tracking11 citations · 2010