Jau-Bi Lin

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About

Jau-Bi Lin is a researcher in robotics and human-robot interaction, with a primary focus on enabling humanoid robots to dynamically imitate human motion. His most-cited work, "Dynamic imitation of human motion for humanoid robot" (2017), demonstrates a practical approach to real-time human-robot mimicry using the DARwIn-OP platform. By integrating the Kinect v2 sensor to capture human skeleton joints and transmitting this data wirelessly, Lin developed a system that allows robots to replicate complex human movements with notable accuracy. This contribution, cited 4 times, addresses a core challenge in making humanoid robots more intuitive and responsive in collaborative environments. Lin’s research bridges the gap between human motion capture and robotic actuation, offering a foundation for applications in assistive robotics, entertainment, and teleoperation. His work underscores the importance of low-cost, accessible sensing technology in advancing humanoid robotics, making it a valuable reference for students and researchers exploring imitation learning and human-robot synchronization.