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About

Shih-Cheng Yen is a leading researcher at the intersection of neural engineering, soft robotics, and brain-machine interfaces (BMIs). His work focuses on restoring and augmenting human mobility and independence through innovative technologies. A key contribution is the design and modelling of a synergy-based actuator for a tendon-driven soft robotic glove (85 citations), addressing the critical need for assistive grasping in individuals with weakness. Yen has also made significant strides in BMI-driven mobility, demonstrating that macaques can achieve independent, wireless control of a robotic platform (55 citations), a breakthrough for those with tetraplegia. His research into neural representations of movement intentions during brain-controlled self-motion (6 citations) further explores how motor cortex activity can be decoded for real-time navigation. Additionally, Yen has contributed to computational neuroscience by introducing a deep neural network architecture for egocentric spatial memory (5 citations). Through these diverse yet interconnected projects, Yen is pioneering practical, brain-controlled assistive devices that promise to transform the lives of individuals with severe motor impairments.