Yoon Kyoo Kang
Papers
2
Total Citations
22
H-Index
2
About
Yoon Kyoo Kang is a pioneering researcher at the intersection of soft robotics and human-robot collaboration, with key contributions in biocompatible actuator design and intelligent collision detection systems. His work on micro, soft bellow actuators—fabricated using biocompatible PDMS and 3D-printed soluble molds—represents a significant advancement in creating pneumatically-driven, living-body-safe robotic components, with 12 citations demonstrating its foundational impact in the field. More recently, Kang has advanced the safety of collaborative robotics through his development of a dynamic collision estimator that employs a dynamic Bayesian network with Markov modeling. This highly reliable approach, recognized with 10 citations, reframes robot collision as a dynamic Markov process rather than a static event, enabling more accurate and practical detection in human-robot shared workspaces. His dual focus on biocompatible soft actuation and intelligent safety systems positions him as a key innovator in making robots both safer and more adaptable for close human interaction. Kang’s work is essential reading for researchers exploring the future of medical robotics and collaborative manufacturing.
Research Focus
Key Achievements
Top Papers
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- 2