Jeakweon Han
Papers
13
Total Citations
100
H-Index
6
About
Jeakweon Han is a robotics and automation researcher whose work spans humanoid robotics, rehabilitation engineering, and intelligent construction machinery. With a career bridging fundamental mechanical design and advanced control systems, Han has made notable contributions to bipedal locomotion, human-assistive robotics, and autonomous heavy equipment operation. Han's pioneering work in humanoid robot development includes designing full-sized bipedal platforms with spring-assisted linkages and sinusoidal gait trajectories, establishing reliable foundations for stable walking. His research has pushed athletic boundaries for humanoid robots, most visibly through autonomous skiing systems capable of carved giant slalom turns — work connected to the 2018 Pyeongchang Winter Olympics Robot Competition and earning international recognition. His RoboCup 2011 Humanoid League championship further demonstrates competitive excellence in the field. More recently, Han has applied deep reinforcement learning (DDPG) to enhance bipedal stability in real-world environments. Beyond humanoid systems, Han has developed rehabilitation exoskeleton gait algorithms responsive to wearer conditions (24 citations) and contributed innovative collision-avoidance and precision control methods for remotely operated excavators. Collectively accumulating nearly 100 citations, his interdisciplinary portfolio reflects a sustained commitment to advancing robots that operate safely and effectively alongside humans.
Research Focus
Key Achievements
Top Papers
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- 6RoboCup 2011 Humanoid League Winners7 citations · 2012
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