Pei‐Chi Chen

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About

Pei-Chi Chen is a researcher specializing in human-robot interaction, sensor fusion, and real-time robotic control systems. Their work centers on developing intuitive, gesture-based interfaces that bridge the gap between human intent and machine action, with a particular emphasis on accessibility and practical deployment. Chen’s most influential contributions include a pioneering study on the manipulation of a real-time Kinect-based robotic arm using double-hand gestures, which demonstrated how depth sensors and color cameras can be integrated with microprocessors to enable natural, contactless control. This work, garnering 7 citations, has implications for assistive robotics and industrial automation. Complementing this, Chen’s research on the remote cruise method for robots equipped with multiple sensors, also with 7 citations, advances autonomous navigation by fusing data from diverse sensor arrays to improve reliability in dynamic environments. Together, these contributions highlight Chen’s commitment to making robotic systems more responsive and user-friendly. Their achievements underscore a growing impact in the field, offering foundational insights for students and researchers exploring gesture recognition, sensor integration, and real-time control—key pillars of next-generation robotics.