MIT develops robot training wristband

Researchers at the Massachusetts Institute of Technology have developed an ultrasound wristband that captures human hand movements, including muscles, tendons, and ligaments. This data is then used to train AI algorithms, enabling humanoid robots to mimic complex hand gestures with high dexterity. The technology aims to help robots master tasks requiring fine motor control, such as housework and surgery. The wristband operates wirelessly and can precisely mirror hand gestures, including American Sign Language, within 120 milliseconds. Key figures like Xuanhe Zhao, a professor at the Massachusetts Institute of Technology, and graduate student Dian Li, have been instrumental in this development and demonstration. The long-term goal is to build large datasets of human motion to allow robots to learn dexterous tasks autonomously.