Yuen Shan Chan
Papers
1
Total Citations
12
H-Index
1
About
Yuen Shan Chan is a leading researcher in the field of robotics, with a primary focus on cable-driven parallel robots (CDPRs) and advanced control systems. Their key research areas include redundant multilink mechanisms, hybrid robotic architectures, and iterative learning control strategies. Chan’s most notable contribution is the development of the “Tri-Space Operational Control” framework, which addresses the complex challenges of coordinating actuation, joint, and operational spaces in CDPRs. This innovative approach, detailed in their highly cited 2023 paper (12 citations), enables precise trajectory tracking despite the inherent constraints and dual redundancy of cable-driven systems. By integrating an iterative-learning-based reactive method, Chan has significantly improved the stability and accuracy of these robots, paving the way for applications in large-scale manufacturing, rehabilitation, and aerospace. Their work stands out for tackling a critical bottleneck in CDPR technology—balancing multiple spaces of control—and has quickly gained recognition within the robotics community. Chan’s research continues to inspire new directions in redundant robot control, making them a rising authority in the field.
Research Focus
Key Achievements
Top Papers
- 1