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About

Suyoung Chi is a robotics researcher whose work centers on human-robot interaction (HRI), with particular expertise in developing intuitive and perceptive robotic systems capable of engaging meaningfully with people. Chi's most recognized contribution is the Robot Photographer system (2006), which integrates stereo vision and wireless communication to enable a mobile robot to autonomously capture photographs by recognizing human gestures—earning 18 citations and demonstrating an early vision for socially aware robotics. Building on gesture recognition, Chi also explored visual game-based interaction through a rock-scissors-paper system using robotic cameras, addressing practical challenges such as camera angle distortion to advance nonverbal human-robot communication. Chi's work extends into multimodal sensing, including real-time sound localization techniques to enhance spatial awareness in robots, and has contributed to standardization efforts through the revised Robotic Interaction Service (RoIS) framework, informed by cross-national surveys of HRI methodologies in Japan and Korea. More recently, Chi applied interaction control principles to rehabilitation and fitness technology, designing a postural correction system for horseback riding simulators that adapts to individual users over time. Across these contributions, Chi's research reflects a consistent commitment to making robots more responsive, perceptive, and genuinely useful partners in everyday human environments.