UC San Diego Engineers Create Wearable Patch That Controls Robots Even in Chaotic Motion
UC San Diego engineers have developed a soft, AI-enabled wearable patch that can interpret gestures with high accuracy even during vigorous or chaotic movement. The armband uses stretchable sensors, a custom deep-learning model, and on-chip processing to clean motion signals in real time. This breakthrough could enable intuitive robot control for rehabilitation, industrial work, first responders, underwater operations, and everyday devices, bringing dependable gesture interfaces closer to mainstream use.
