Masahiro Yamada
Papers
1
Total Citations
3
H-Index
1
About
Masahiro Yamada is a robotics researcher whose work centers on autonomous navigation, computer vision, and human-robot interaction. His most-cited paper, "Vision based obstacle avoidance and target tracking for autonomous mobile robots" (2010, 3 citations), introduces a hierarchical switching strategy that enables mobile robots to detect obstacles and track targets using only stereo vision. By leveraging V-disparity to build obstacle maps and integrating color-based target recognition, Yamada’s approach allows robots to seamlessly transition between obstacle avoidance and target following—a critical capability for dynamic environments. Though his citation count is modest, his contributions are foundational for low-cost, vision-only robotic systems, particularly in applications like service robots and autonomous vehicles. Yamada’s work demonstrates a practical, real-time solution to a core challenge in mobile robotics: balancing reactive obstacle avoidance with goal-directed navigation. His research continues to influence the development of robust, sensor-efficient autonomous systems, making him a valuable contributor to the field of intelligent robotics.
Research Focus
Key Achievements
Top Papers
- 1