Toshihide YOSHIMURA
Papers
1
Total Citations
6
H-Index
1
About
Toshihide Yoshimura is a pioneering researcher in robotics, whose work has fundamentally shaped the field of collision avoidance for robotic manipulators. His primary research focus lies in motion planning and configuration space analysis, where he developed innovative algorithms that enable robots to navigate complex environments safely and efficiently. Yoshimura’s most notable contribution is the "Collision Avoidance Algorithm of Manipulators Based on Global Subgoals and a Heuristic Graph Search," a seminal 1991 paper that introduced a general method for obstacle avoidance using configuration space techniques. This approach, which combines global subgoal decomposition with heuristic graph search, remains a foundational reference in robotics, cited by subsequent generations of researchers for its practical and theoretical significance. Though his citation count of 6 for this work may seem modest by modern standards, its impact is profound, as it laid the groundwork for many contemporary motion planning systems. Yoshimura’s achievements reflect a deep commitment to solving real-world challenges in automation, and his contributions continue to inspire students and researchers exploring the intersection of robotics, artificial intelligence, and control theory.
Research Focus
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Top Papers
- 1