Papers
22
Total Citations
582
H-Index
15
About
Seung-kook Yun is a robotics researcher whose work spans humanoid robot safety and control, compliant manipulation, modular self-reconfiguring systems, and multi-robot coordination. His most influential contributions center on making humanoid robots more resilient and safer in dynamic environments. Yun's research on fall control strategies — including direction-changing falls and the innovative "tripod fall" concept, which attempts to arrest a robot's fall before it reaches the ground — has garnered significant attention, with these works collectively accumulating over 130 citations. His 2008 study on passive compliance in contact motion learning (71 citations) demonstrated how human-inspired mechanical compliance can dramatically improve robotic manipulation performance in challenging peg-in-hole tasks. Beyond humanoid robotics, Yun has made noteworthy contributions to decentralized multi-robot systems, including self-assembling mobile linkages and collaborative construction algorithms that adapt to robot failures. His work on distributed graph-based coverage further reflects a broad interest in scalable, autonomous robot coordination. With a research portfolio bridging physical robot safety, intelligent control, and collective robotics, Yun's work offers valuable insights for researchers developing robust autonomous systems intended to operate alongside humans in real-world environments.
Research Focus
Key Achievements
Top Papers
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- 5Direction-changing fall control of humanoid robots: theory and experiments43 citations · 2013
- 6Self-assembling mobile linkages37 citations · 2007
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- 9Adaptation to robot failures and shape change in decentralized construction26 citations · 2010
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