Papers
1
Total Citations
10
H-Index
1
About
Yi-Jie Lu is a pioneering researcher in human-robot interaction and haptic feedback systems, with a focus on enhancing immersive training experiences. His most cited work, "MovableBag: Substitutional Robot for Enhancing Immersive Boxing Training with Encountered-Type Haptic" (2022, 10 citations), introduces a novel robotic system that substitutes for a human coach in boxing training. This innovation addresses critical challenges in combat sports, where coaches face physical strain and injury risks during prolonged sessions. Lu's major contribution lies in developing encountered-type haptic feedback—a technique where a robot physically interacts with the user in real-time, creating realistic tactile sensations without requiring the user to wear cumbersome devices. By designing MovableBag to dynamically respond to a boxer's movements, he bridges the gap between virtual training and physical reality, offering a safer, more sustainable alternative to traditional coaching. His work demonstrates significant impact by pioneering substitutional robotics in sports training, a niche yet rapidly growing field. Lu's research not only advances haptic technology but also opens new possibilities for remote, injury-free athletic coaching, making him a notable figure in the intersection of robotics, virtual reality, and sports science.
Research Focus
Key Achievements
Top Papers
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