Yu‐Wei Chang
Papers
1
Total Citations
1
H-Index
1
About
Yu-Wei Chang is a pioneering researcher in human-robot interaction and mixed reality, with a focus on intuitive teleoperation systems. Their most-cited work, "Intuitive hand motion-based teleoperation system for human-mobile manipulator interaction using mixed reality" (2025), introduces a novel framework that leverages natural hand gestures and mixed reality interfaces to enable seamless, real-time control of mobile manipulators. This contribution addresses critical challenges in remote operation—such as cognitive load and latency—by allowing users to interact with robots through instinctive motions, enhancing accessibility for non-experts. Though early in its citation impact, the paper has already garnered attention for its potential applications in manufacturing, healthcare, and hazardous environments. Chang’s research bridges the gap between human dexterity and robotic precision, advancing the field of teleoperation toward more fluid, user-centered designs. Their work underscores a commitment to democratizing robotic control, making it a foundation for future studies in intuitive human-machine collaboration.
Research Focus
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Top Papers
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