Papers
3
Total Citations
26
H-Index
3
About
Chang-Hyuk Lee is a researcher dedicated to advancing human-robot interaction, with a primary focus on exoskeletal and wearable robotic systems for industrial applications. His work centers on developing intuitive motion-teaching methods for dual-arm robots, addressing a critical gap in robotic usability. Lee’s most influential contribution, the “Exoskeletal master device for dual arm robot teaching” (2017, 17 citations), introduces a novel mechanism that allows operators to naturally guide robot arms through physical demonstration, significantly improving teaching efficiency for complex tasks. This builds on his earlier foundational work in mechanism design (2014, 5 citations), which laid the groundwork for dual-arm coordination. Expanding into assistive robotics, Lee’s recent research on an upper limb power-assist wearable robot (2024, 4 citations) targets repetitive medium- to low-weight loads in daily logistics, demonstrating his commitment to practical, ergonomic solutions for real-world labor challenges. His innovations are particularly notable for bridging the gap between robotic precision and human dexterity, offering safer, more intuitive interfaces. With a cumulative impact of over 26 citations, Lee’s contributions are shaping the future of collaborative robotics and wearable technology, making him a key figure in industrial automation and human augmentation.
Research Focus
Key Achievements
Top Papers
- 1Exoskeletal master device for dual arm robot teaching17 citations · 2017
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