Dashun Yan

Chinese Academy of Sciences

Papers

3

Total Citations

17

H-Index

2

About

Dashun Yan is pioneering the frontier of anthropomorphic robotic manipulation, with a focus on designing dexterous, human-like hands that can operate in complex, unstructured environments. His key research areas include tendon-driven robotic hand design, teleoperation, and human-robot collaboration. Yan’s major contributions include the development of the **CasiaHand**, a 15-degree-of-freedom tendon-driven anthropomorphic hand that balances structural complexity with functional dexterity—a critical step toward achieving human-level manipulation. He has also advanced **human-robot collaborative tele-grasping** in cluttered settings, reducing operator burden and error during remote operations. His most-cited work, a comprehensive review on human-like dexterous manipulation (2025, 13 citations), synthesizes breakthroughs in visual and tactile perception, highlighting the persistent gap between robotic and human dexterity. With a growing citation footprint, Yan’s research is shaping the next generation of robotic hands for applications in hazardous environments and assistive robotics. His work stands out for its integration of mechanical design, control, and human-centered teleoperation, offering a roadmap toward truly dexterous and collaborative robotic systems.

Research Focus

Key Achievements

2
H-Index
3
Papers
17
Total Citations
6
Avg Citations/Paper
🏆 Most Cited Paper
Human-like dexterous manipulation for anthropomorphic five-fingered hands: A review
13 citations · 2025
📈 Most Prolific Year: 2025 (3 Papers)
🤝 Key Collaborators: 12
🏛 Institutions: Chinese Academy of Sciences

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago