Kiwon Rhee

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About

Kiwon Rhee is a researcher whose work sits at the intersection of human-robot interaction and biomedical signal processing. His primary research focus is on developing intuitive, non-invasive control systems for robots, leveraging the body’s own electrical and motion signals. His most significant contribution is pioneering a method for robot navigation using electromyogram (EMG) and acceleration sensors attached to the human arm. This approach, detailed in his highly cited 2011 paper (9 citations), allows users to control a robot remotely through natural, intuitive motions, akin to steering a car, by processing EMG signals to determine the user’s intent. Rhee’s work demonstrates a practical, wearable interface that bypasses traditional joysticks or keyboards, making robot control more accessible and fluid. His follow-up research in 2013 refined this concept, using surface EMG and accelerometer signals from the operator’s wrists to infer arm gestures and translate them into robot commands. By enabling direct, gesture-based control, Rhee has contributed foundational techniques to the fields of assistive robotics and teleoperation, with potential applications in rehabilitation, industrial automation, and remote exploration.