Tsung-Wei Lin

Papers

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About

Tsung-Wei Lin is a robotics researcher whose work focuses on human-robot interaction, motion imitation, and mobile manipulation for service applications. His key contributions lie in developing intuitive control systems that allow robots to learn from human demonstration and navigate complex indoor environments. In his highly cited 2013 paper (34 citations), Lin introduced a real-time human motion imitation framework for anthropomorphic dual-arm robots, using a Kinect sensor to capture human skeleton joints and Cartesian impedance control to enable natural, compliant robot movements. This work advanced the field of teleoperation and skill transfer. His second major contribution (27 citations) is the design of an erect wheel-legged stair-climbing robot, featuring a high center of mass and a triangular wheel-legged mechanism that allows dynamic, self-balancing stair ascent—a critical capability for indoor service robots. Lin’s research bridges the gap between intuitive human control and robust autonomous mobility, with applications in assistive robotics and household automation. His work has been recognized for its practical impact on making robots more adaptable and user-friendly in real-world settings.