Shuangji Yao
Papers
10
Total Citations
141
H-Index
8
About
Shuangji Yao is a leading researcher in robotic manipulation, with a primary focus on the design, analysis, and control of underactuated robotic hands and fingers. His work addresses a critical challenge in robotics: creating low-cost, easy-to-operate grippers that can perform robust, self-adaptive grasping. Yao’s most influential contribution is his foundational work on underactuated finger mechanisms, where he has developed and optimized novel designs that enable passive, enveloping grasps without complex control systems. His 2018 paper on grasp configuration planning for a three-fingered hand, which has garnered 44 citations, exemplifies his impact by providing practical solutions for affordable robotic hands. Beyond manipulation, Yao has also contributed to dynamic modeling for multi-legged robots and, more recently, to terrain modeling using LiDAR for autonomous vehicle navigation. His research, spanning over a decade, has yielded a suite of highly cited papers that have shaped the design of modular, underactuated mechanisms. Through his systematic analysis of optimal design criteria and grasp strategies, Yao has established himself as a key figure in advancing the practicality and accessibility of robotic grasping technology.
Research Focus
Key Achievements
Top Papers
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- 3Design Considerations for an Underactuated Robotic Finger Mechanism13 citations · 2009
- 4Analysis and design of a modular underactuated mechanism for robotic fingers12 citations · 2011
- 5Modular formulation for dynamics of multi-legged robots12 citations · 2002
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- 8An Optimal Design for a New Underactuated Finger Mechanism8 citations · 2008
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- 10