Max Robotics — Global Service Robot Directory + US Certification

About

James Goh is a pioneering researcher at the intersection of soft robotics and rehabilitation engineering, whose work is transforming assistive technologies for individuals with hand impairments. His primary research areas include soft robotic actuators, human-robot interaction, and wearable sensor systems for rehabilitation. Goh’s major contributions center on developing low-profile, fabric-regulated pneumatic actuators that require significantly lower pressure than traditional designs, making them safer and more practical for daily use. His most-cited work, "A fabric-regulated soft robotic glove with user intent detection using EMG and RFID" (119 citations), introduces a groundbreaking glove that assists with functional grasp pathologies by integrating user intent detection through electromyography and RFID sensors. Another influential paper, "MRC-glove: A fMRI compatible soft robotic glove for hand rehabilitation application" (54 citations), demonstrates his innovation in creating MRI-compatible devices for continuous passive motion therapy, enabling unprecedented neuroimaging studies during rehabilitation. Goh has also advanced intent detection with wearable force myography (FMG) sensing systems (35 citations), using supervised learning to interpret user commands. His work bridges engineering and clinical needs, offering scalable, user-friendly solutions that enhance independence for individuals with hand disabilities.