Yoshihiro Chigodo
Advanced Telecommunications Research Institute International
Papers
1
Total Citations
52
H-Index
1
About
Yoshihiro Chigodo is a leading researcher in human-robot interaction, with a primary focus on pedestrian behavior modeling and prediction. His most influential work, "Modeling and Prediction of Pedestrian Behavior based on the Sub-goal Concept" (2012, 52 citations), introduces a novel framework that enables robots to anticipate pedestrians' long-term trajectories and final goals by leveraging insights from human science. This approach allows service robots to navigate crowded environments more intelligently, proactively adjusting their paths to offer assistance without disrupting natural human movement. Chigodo’s key contribution lies in bridging cognitive science and robotics: by modeling how people break down their navigation into sub-goals, his system predicts not just immediate steps but entire intended routes. This work has laid the foundation for more socially aware autonomous systems, influencing subsequent research in robot motion planning and human-aware navigation. His achievements demonstrate a rare ability to translate theoretical models of human decision-making into practical robotic applications, making him a notable figure in the field of intelligent service robotics.
Research Focus
Key Achievements
Top Papers
- 1Modeling and Prediction of Pedestrian Behavior based on the Sub-goal Concept52 citations · 2012