Yen-Hua Lin

King's College London

Papers

3

Total Citations

60

H-Index

3

About

Yen-Hua Lin is a leading researcher in robotics, specializing in dynamic parameter identification for serial manipulators and the design and analysis of reconfigurable, metamorphic robotic hands. Their major contributions include developing a Lie-theory-based methodology that simplifies and universalizes the estimation of dynamic parameters for robot control, a significant advance over cumbersome conventional approaches. Lin’s work on reconfigurable hands has been pivotal in balancing precision, force exertion, and adaptability, with studies on three-fingered and four-fingered metamorphic anthropomorphic hands exploring manipulation workspace and grasp stability. Their most-cited paper, "A Lie-Theory-Based Dynamic Parameter Identification Methodology for Serial Manipulators" (2020), has garnered 50 citations, underscoring its impact on model-based control and simulation. Lin’s research is shaping the future of dexterous manipulation, offering practical solutions for precision tasks and adaptive grasping, making their work essential for students and researchers in robotics and automation.

Research Focus

Key Achievements

3
H-Index
3
Papers
60
Total Citations
20
Avg Citations/Paper
🏆 Most Cited Paper
A Lie-Theory-Based Dynamic Parameter Identification Methodology for Serial Manipulators
50 citations · 2020
📈 Most Prolific Year: 2020 (1 Papers)
🤝 Key Collaborators: 8
🏛 Institutions: King's College London

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
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