Papers
43
Total Citations
1,189
H-Index
15
About
Yu She is a robotics researcher whose work spans soft robotics, tactile sensing, and dexterous robotic manipulation. She has made foundational contributions to the design of soft robotic hands, pioneering the integration of shape memory alloy actuators and piezoelectric sensors into fully embedded five-fingered systems, work that has garnered over 200 citations. Her research on tactile-reactive manipulation — particularly cable handling with compliant grippers — has reshaped how robots interact with deformable, high-dimensional objects, earning 225 citations and establishing her as a leading voice in reactive manipulation strategies. She has significantly advanced vision-based tactile sensing, developing compact, high-resolution sensors such as the GelSight Wedge and the multimodal VisTac finger, which unify visual and tactile perception to support robust object localization and grasping. Her transformer-based learning framework for grasping deformable objects reflects her growing emphasis on data-driven approaches to manipulation challenges. Beyond dexterous hands, She has contributed to tunable-stiffness robot arms for safe human-robot interaction, transformable wheeled-legged robots, and space robot vibration suppression. With a cumulative body of work exceeding 700 citations, her research consistently bridges mechanical innovation with intelligent sensing, making her an influential figure across multiple frontiers of modern robotics.
Research Focus
Key Achievements
Top Papers
- 1Cable manipulation with a tactile-reactive gripper225 citations · 2021
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- 5A transformable wheel robot with a passive leg65 citations · 2015
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- 10VisTac Toward a Unified Multimodal Sensing Finger for Robotic Manipulation28 citations · 2023