Papers
28
Total Citations
197
H-Index
8
About
Naoki Oda is a robotics researcher whose work sits at the intersection of computer vision, motion control, and assistive robotics. His research has made significant contributions to two primary domains: vision-based control for biped walking robots and intelligent robotic wheelchair systems. With over 130 cumulative citations across his most influential works, Oda has established himself as a thoughtful contributor to practical robotic applications. Among his most recognized contributions is his 2009 survey on vision-based motion control for robotic systems (32 citations), which synthesized advances in visual feedback techniques to enhance robot dexterity and flexibility. His work on biped robots is particularly notable, where he pioneered vision-based methods for detecting the Zero Moment Point (ZMP) — a critical stability metric — eliminating the need for costly force sensors typically embedded in robot feet. This approach, explored across multiple papers from 2008 to 2013, offered a more versatile and economical path to stable walking. Equally impactful is his sustained research into robotic wheelchairs, developing power-assist control systems that leverage optical flow and stereo vision to estimate velocity and follow human users naturally. This body of work demonstrates Oda's commitment to creating robots that are both technically sophisticated and genuinely beneficial to human users.
Research Focus
Key Achievements
Top Papers
- 1Vision‐based motion control for robotic systems32 citations · 2009
- 2Vision Based Control for Power Assist Motion of Wheelchair Robots17 citations · 2006
- 3Visual stabilization of walking motion for biped robot with flexible ankles14 citations · 2010
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- 6Image-based visual feedback control for biped walking robot11 citations · 2012
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- 9Power assist control of robotic wheelchair based on visual feedback7 citations · 2009
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