Takayuki Yoshigahara

Sony Computer Science Laboratories, Waseda University

Papers

Total Citations

190

H-Index

About

Takayuki Yoshigahara is a pioneering roboticist whose research centers on autonomous navigation and vision-based control for humanoid robots. His most impactful contribution is the development of obstacle avoidance and path planning systems that enable bipedal robots to perceive and navigate complex, unstructured environments. His seminal 2004 paper, cited over 185 times, introduced a stereo vision framework for the humanoid robot QRIO, allowing it to autonomously map its surroundings, detect obstacles, and plan safe walking paths in a home setting. This work was foundational for integrating real-time 3D perception with locomotion control. Yoshigahara further advanced the field by demonstrating that a biped robot could step over low obstacles rather than simply detouring—a key achievement for agile, human-like movement. His research on the WL-IZRII-V platform showcased how vision systems could be tightly coupled with gait planning. By solving critical challenges in environment mapping and reactive navigation, Yoshigahara helped lay the groundwork for today’s autonomous humanoid robots capable of operating in human-centric spaces. His contributions remain essential reading for researchers in vision-based locomotion and service robotics.