Tan Fung Chan

University of Tennessee at Knoxville

Papers

8

Total Citations

630

H-Index

6

About

Tan Fung Chan has made foundational contributions to the control of redundant robotic manipulators and bilateral telerobotic systems. His most influential work, the 1995 paper on a weighted least-norm solution for avoiding joint limits in redundant manipulators, has garnered over 460 citations and remains a cornerstone reference in the field. Chan pioneered the use of statistically based variable weighting to simultaneously optimize multiple performance criteria, offering a principled alternative to traditional gradient projection methods. In teleoperation, he advanced variable damping impedance control, addressing the fundamental challenge of conflicting dynamic requirements across different tasks. His work on generalized bilateral controllers for non-replica master-slave systems—enabling scaling, indexing, and shared control—has been instrumental in designing practical teleoperator architectures. Chan’s research elegantly bridges theoretical optimization with real-world implementation, providing engineers with robust tools for safer, more efficient robotic motion and intuitive human-robot interaction. His contributions continue to influence modern approaches to redundancy resolution and teleoperation control.

Research Focus

Key Achievements

6
H-Index
8
Papers
630
Total Citations
79
Avg Citations/Paper
🏆 Most Cited Paper
A weighted least-norm solution based scheme for avoiding joint limits for redundant joint manipulators
463 citations · 1995
📈 Most Prolific Year: 2002 (4 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: University of Tennessee at Knoxville

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago