Hand Free

Hands-free interfaces aim to enable human-robot interaction and control without the need for manual input devices. Current research focuses on developing robust control schemes using various modalities, including torso movements for riding robots, voice commands, and head gestures for text entry and robot navigation, often incorporating machine learning algorithms like dynamic time warping and admittance control for improved performance and safety. These advancements are significant for improving accessibility, particularly for individuals with motor impairments, and enhancing efficiency in various applications, from industrial robotics to virtual reality.