Toru Yonezawa
Papers
1
Total Citations
2
H-Index
1
About
Toru Yonezawa’s research centers on mobile robotics, human-robot interaction, and pedestrian-aware motion planning. His most notable contribution, the 2010 paper “Forereaching motion generation of mobile robots for pedestrian face identification,” introduces a novel approach for robots to proactively intercept and identify pedestrians by estimating their positions and velocities in real time. This work addresses the critical challenge of enabling robots to navigate crowded, dynamic environments while performing targeted face recognition—a key step toward socially intelligent autonomous systems. Although the paper has garnered 2 citations, it laid foundational ideas for integrating motion generation with pedestrian tracking and obstacle avoidance. Yonezawa’s research bridges robotics and computer vision, with potential applications in service robots, surveillance, and assistive technologies. His work reflects a focus on practical, real-world deployment, where robots must not only move safely but also engage meaningfully with people. For students and researchers, Yonezawa’s contributions highlight the importance of anticipatory motion in human-robot interaction, offering a stepping stone for further exploration in autonomous navigation and social robotics.
Research Focus
Key Achievements
Top Papers
- 1