Papers
8
Total Citations
121
H-Index
6
About
Meng Yin is a leading researcher in medical robotics and tendon-sheath actuation systems, with a focus on enhancing robotic dexterity and precision for surgical and assistive applications. Their work spans robotic palpation, where they developed ordinal classification methods to recognize tumor depth in soft tissue—a critical step for tumor resection—garnering 27 citations. Yin’s major contributions include modeling and closed-loop control of tendon-sheath-driven robotic hands and manipulators, addressing challenges like friction and limited sensor space to achieve high-precision, compliant control. Their research on joint modeling and disturbance compensation for humanoid hands (24 and 7 citations, respectively) has advanced dexterous operations, while their work on exoskeleton robots for paraplegic patients (6 citations) explores time-varying inertia control for hip joints, aiding autonomous walking. Yin’s early work on dextrous workspaces for many-degree-of-freedom systems (8 citations) laid foundational insights, and their recent spring-based rigid-soft gripper (5 citations) integrates conformal grasping with object recognition. With over 100 total citations, Yin’s innovations in tendon-sheath actuators and robotic palpation are pivotal for next-generation surgical robots and assistive devices, bridging the gap between robotic precision and human-like touch.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4
- 5
- 6
- 7
- 8