Papers
22
Total Citations
206
H-Index
7
About
Kunihiro Ogata is a robotics researcher whose work spans humanoid robot control, visual marker systems, and assistive robotics technologies. His most recognized contribution, "Falling Motion Control for Humanoid Robots While Walking" (2007, 62 citations), introduced a pioneering framework for selecting between stabilizing feedback control and Ukemi-inspired shock-reducing fall responses — a landmark advance in making bipedal robots safer and more resilient. Building on this foundation, Ogata has made significant contributions to dynamic locomotion, developing force control strategies for jumping musculoskeletal robots driven by pneumatic artificial muscles, and biarticular muscle-based stiffness ellipse methods for managing impact forces during agile motion. Parallel to his locomotion research, Ogata has advanced robot perception through innovative visual marker designs, addressing long-standing challenges in pose ambiguity and estimation accuracy using wavelike patterns and image interpolation techniques. More recently, his work has expanded into socially impactful assistive robotics, including the development of dummy humanoid robots and whole-body elderly simulators to rigorously evaluate nursing care and assistive devices. Across these diverse domains, Ogata's research reflects a consistent commitment to bridging theoretical robotics with real-world human-centered applications, accumulating over 160 citations throughout his career.
Research Focus
Key Achievements
Top Papers
- 1Falling motion control for humanoid robots while walking62 citations · 2007
- 2Solving pose ambiguity of planar visual marker by wavelike two-tone patterns23 citations · 2017
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