Papers
9
Total Citations
116
H-Index
5
About
Yu Mu is a robotics researcher whose work spans mobile manipulation, trajectory optimization, and open-architecture control systems. His most influential contribution is the development of a transformable wheel–track robot with a tail rod mechanism that coordinates the center of gravity for stable stair climbing, providing a theoretical foundation for dynamic stability in hybrid locomotion platforms (36 citations). In manipulation, Mu has advanced optimal trajectory planning for robotic arms, applying improved teaching-learning-based optimization (33 citations) and chicken swarm optimization (25 citations) to generate smooth, energy-efficient paths using B-spline curves. He also contributed to accessible robotics by implementing an open-architecture kinematic controller under ROS (8 citations) and developing U-Pendant, a universal teach pendant that enables cross-platform robot programming (6 citations). His broader work includes safety analysis of climbing robots with redundant vacuum systems, fault detection for two-wheel inverted pendulum robots, and monocular vision tracking using DLT calibration. Mu’s research is characterized by a practical focus on real-world deployment, from building inspection to industrial automation, and his integration of bio-inspired algorithms with robotic control systems demonstrates a commitment to both theoretical rigor and applied innovation.
Research Focus
Key Achievements
Top Papers
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- 5U-Pendant: A universal teach pendant for serial robots based on ROS6 citations · 2014
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