Kenichi Ogata
Papers
1
Total Citations
51
H-Index
1
About
Kenichi Ogata is a leading researcher in humanoid robotics, with a primary focus on motion planning and control for dynamic stability and safety. His most influential work addresses the critical challenge of fall damage reduction for humanoid robots, a problem essential for deploying these machines in real-world environments. In his seminal 2008 paper, cited over 50 times, Ogata introduced a pioneering framework for real-time motion selection and generation of fall damage reduction actions. This work not only proposed a method for selecting the optimal falling strategy but also developed algorithms for generating both fall-avoidance motions and active shock-reducing motions upon impact. By tackling the vulnerability of humanoids to falls—a key barrier to their practical use—Ogata's contributions have provided foundational techniques for enhancing robot resilience. His research bridges the gap between theoretical motion planning and practical safety, enabling more robust and autonomous humanoid operation.
Research Focus
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Top Papers
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