Papers
1
Total Citations
14
H-Index
1
About
Chinmay Shah is a leading researcher at the intersection of biomechatronics and neural control, with a primary focus on advancing robotic lower-limb prostheses. His key contributions lie in developing bio-inspired control systems that bridge the gap between human physiology and machine actuation. Shah’s most notable work, “Design of EMG-driven Musculoskeletal Model for Volitional Control of a Robotic Ankle Prosthesis” (2022, 14 citations), tackles a critical limitation in current prosthetics: their inability to handle non-cyclic, unpredictable tasks. By integrating electromyography (EMG) signals with a musculoskeletal model, he created a framework that allows users to exert volitional, real-time control over a robotic ankle, moving beyond pre-programmed locomotive patterns. This innovation holds promise for restoring natural, adaptive movement in daily life. Shah’s research has been recognized for its potential to transform assistive technology, earning him a reputation as a pioneer in user-driven prosthetic design. His work continues to inspire new directions in neural-machine interfaces and rehabilitation engineering.
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Top Papers
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