Papers
24
Total Citations
173
H-Index
8
About
Masanao Koeda is a pioneering researcher in robotics and augmented reality (AR), whose work bridges intelligent manipulation, humanoid locomotion, and medical technology. His core contributions span three key areas: soft-fingered robotic grasping, humanoid robot locomotion, and AR-assisted surgical navigation. In robotic manipulation, Koeda developed methods for shape recognition and optimal grasping of unknown objects using soft fingers and omnidirectional cameras, with his 2008 paper on this topic accumulating 25 citations. His innovative grasp criterion for two-soft-fingered hands, informed by human grasping measurements, has been cited 12 times. For humanoid robotics, Koeda introduced the "shuffle turn" and "sliding walk" techniques—highly stable locomotion methods that avoid inefficient stepping motions, with his 2011 paper on shuffle translation earning 21 citations. Notably, his work on ZMP feedback control for sliding walks (8 citations) addresses stability in constrained environments. In medical robotics, Koeda developed an AR navigation system for robot-assisted laparoscopic partial nephrectomy (15 citations), enhancing surgical precision. His early work on proto-symbol emergence (16 citations) demonstrates his interdisciplinary approach, using robotics as a testbed for cognitive theories. With over 130 total citations, Koeda’s research continues to influence both fundamental robotics and clinical applications.
Research Focus
Key Achievements
Top Papers
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- 2Shuffle turn and translation of humanoid robots21 citations · 2011
- 3Proto-symbol emergence16 citations · 2002
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- 7A sliding walk method for humanoid robots using ZMP feedback control8 citations · 2011
- 8Side translation by simultaneous shuffle turn for humanoid robots8 citations · 2011
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