Papers
24
Total Citations
120
H-Index
5
About
Chyon Hae Kim is a pioneering roboticist whose research bridges the gap between autonomous machines and human social dynamics. His work centers on three key areas: human-aware robot navigation, physical dexterity for humanoid robots, and the psychological boundaries of human-robot interaction. Kim’s most impactful contribution is his 2021 study on robot navigation in densely crowded environments, which demonstrated that robots must predict and adapt to human movement rather than treating people as mere obstacles—a paradigm shift that has earned 19 citations. He has also made notable advances in physical manipulation, developing methods for humanoid robots to rotate unsupported objects and turn ropes, with his 2009 and 2011 papers on these topics accumulating over 16 citations combined. Kim’s exploration of reinforcement learning for online behavior acquisition, including his epsilon-greedy babbling model (2017), has provided foundational tools for robots to learn exploratory actions without prior knowledge. His work on psychological boundaries (2013) and object-exclusion behavior (2016) further reveals his commitment to understanding how robots can intuitively encourage human cooperation. With over 80 total citations across his ten most-cited papers, Kim’s research is shaping the future of socially intelligent robotics.
Research Focus
Key Achievements
Top Papers
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- 8Epsilon-greedy babbling5 citations · 2017
- 9Recognition for psychological boundary of robot4 citations · 2013
- 10The development of magnetic powdery sensor4 citations · 2014