Keisuke Shima
Papers
9
Total Citations
76
H-Index
4
About
Keisuke Shima is a leading researcher in the field of rehabilitation robotics, specializing in electromyography (EMG)-based control systems for assistive and therapeutic devices. His work centers on the development of intelligent robotic systems that interpret human muscle signals to restore motor function and enhance rehabilitation outcomes. Shima’s most significant contribution is the **Cybernetic Rehabilitation Aid (CRA)** , a novel platform that integrates tactile feedback and EMG-based motor skill evaluation to directly teach and assess movement patterns. This concept, first introduced in 2009 and refined in a highly cited 2012 study (28 citations), addresses the dual challenge of evaluating and teaching motor skills within a single system. He has also pioneered EMG-controlled feeding support robots and prosthetic hands, using probabilistic neural networks and biomimetic impedance control to achieve natural, intuitive operation. His work on an EMG-controlled mobile robot with a gripper mechanism (2025) extends these principles to fine motor skill training. With over 75 total citations, Shima’s research has laid the groundwork for next-generation rehabilitation systems that are responsive, adaptive, and patient-centered.
Research Focus
Key Achievements
Top Papers
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- 3Biomimetic Impedance Control of an EMG-Based Robotic Hand15 citations · 2010
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- 6EMG-Based Control of a Multi-Joint Robot for Operating a Glovebox3 citations · 2015
- 7Hybrid Rehabilitation System with Motion Estimation Based on EMG Signals2 citations · 2023
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