Kohtaro Sabe
Papers
5
Total Citations
208
H-Index
4
About
Kohtaro Sabe is a pioneering roboticist whose work has fundamentally shaped how humanoid robots perceive and navigate the world around them. His primary research areas span autonomous navigation, computer vision, and developmental robotics, with a particular focus on enabling robots to operate intelligently in unstructured, human-centric environments. Sabe’s most impactful contribution is his seminal 2004 paper on obstacle avoidance and path planning for humanoid robots using stereo vision, which has garnered 185 citations. This work, developed for Sony’s QRIO robot, provided a robust framework for real-time obstacle detection and map-based navigation, allowing a bipedal robot to autonomously traverse a home environment—a critical step toward practical domestic robotics. Beyond navigation, Sabe has explored how robots can learn from their own experiences, as seen in his work on generative models for visuomotor development, which draws inspiration from infant learning. He also contributed to the foundational platform technology OPEN-R, which powered Sony’s iconic AIBO robot, helping to launch the field of robot entertainment. Through his blend of rigorous engineering and developmental insights, Sabe has left a lasting mark on both the technical and conceptual evolution of autonomous humanoid robots.
Research Focus
Key Achievements
Top Papers
- 1Obstacle avoidance and path planning for humanoid robots using stereo vision185 citations · 2004
- 2Development of entertainment robot and its future8 citations · 2005
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- 5Environment identification by comparing maps of landmarks4 citations · 2004