Yi-Hsiang Ma
Papers
5
Total Citations
74
H-Index
4
About
Yi-Hsiang Ma is a robotics researcher whose work bridges intuitive human-robot interaction and socially assistive technology. His primary research areas include muscle-gesture computer interfaces, wearable robotics, and human-robot interaction for special-needs populations. Ma's major contributions center on developing natural, non-invasive control systems using commercial wearable devices. His most influential work, "Muscle-gesture robot hand control based on sEMG signals with wavelet transform features and neural network classifier" (29 citations), demonstrates a pioneering approach to controlling robotic hands through surface electromyography signals captured by a MYO armband. He extended this concept to robot navigation in his 2015 paper (27 citations), enabling intuitive control of omnidirectional robots through muscle gestures. Ma's impact extends beyond technical innovation to socially meaningful applications. His work on the WAS-5 robot project includes developing synchronization feedback systems and facial expression recognition interfaces for individuals with Autism Spectrum Disorder, showing how robotics can support music therapy and social skill development. He also contributed to search-and-rescue robotics with a hybrid locomotion robot designed for partially collapsed buildings, demonstrating versatility in applying human-robot interaction principles across domains.
Research Focus
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Top Papers
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