Kazuhiro Abe
Papers
1
Total Citations
12
H-Index
1
About
Kazuhiro Abe is a robotics researcher whose work focuses on enabling safe, autonomous navigation for mobile robots in human-populated environments. His key research areas include human-aware motion planning, pedestrian tracking, and collision avoidance systems. Abe’s most-cited paper, “Collision-free navigation based on people tracking algorithm with biped walking model” (2008, 12 citations), introduces a novel algorithm that integrates a biped walking model to predict pedestrian trajectories and plan collision-free paths in real time. This work addresses the critical challenge of robots operating seamlessly alongside unpredictably moving people, laying groundwork for socially compliant navigation. By combining recognition of walking individuals with dynamic path planning, Abe’s contributions help bridge the gap between robotic autonomy and real-world safety. Though his citation count is modest, his research is foundational for service robots and autonomous vehicles that must interact with humans in crowded, everyday settings.
Research Focus
Key Achievements
Top Papers
- 1