Chunyang Mu

North Minzu University

Papers

7

Total Citations

40

H-Index

4

About

Chunyang Mu is a robotics researcher whose work spans industrial robot control, autonomous path planning, and machine vision systems. With a focus on bridging theoretical algorithms and practical industrial applications, Mu has made meaningful contributions to the safety and intelligence of modern robotic systems. Among Mu's most notable achievements is pioneering work on collision detection for six-DOF serial robots, developing an effective force/position hybrid control algorithm that directly addresses critical safety challenges in industrial settings — earning 17 citations and establishing Mu as a voice in safe human-robot interaction. Complementing this, Mu's research on an improved RRT algorithm for obstacle-avoidance path planning tackles the longstanding inefficiencies of high-dimensional redundant robot arm navigation, reducing path redundancy and search time. Mu has also advanced machine vision integration in robotics, with contributions ranging from adhesive workpiece recognition and visual-guided sorting systems to deep learning-based recognition under occlusion for harvesting robots. Additional work on industrial polishing control systems and speech-guided robot navigation reflects the breadth of Mu's applied engineering vision. Collectively accumulating over 40 citations, Mu's research consistently targets real-world robotic challenges, making it highly relevant for engineers and students advancing intelligent manufacturing and autonomous systems.

Research Focus

Key Achievements

4
H-Index
7
Papers
40
Total Citations
6
Avg Citations/Paper
🏆 Most Cited Paper
Collision detection for six-DOF serial robots force/position hybrid control based on continuous friction model
17 citations · 2022
📈 Most Prolific Year: 2019 (3 Papers)
🤝 Key Collaborators: 17
🏛 Institutions: North Minzu University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago