Yuuki Inoue
Papers
1
Total Citations
6
H-Index
1
About
Yuuki Inoue is a pioneering researcher in robotics, whose foundational work on collision avoidance for manipulators has shaped the field of autonomous motion planning. His most influential contribution, the 1991 paper "The Collision Avoidance Algorithm of Manipulators Based on Global Subgoals and a Heuristic Graph Search," introduced a novel configuration space method that remains a cornerstone of robotic pathfinding. By combining global subgoals with heuristic graph search, Inoue’s algorithm enabled manipulators to navigate complex environments efficiently, avoiding obstacles without exhaustive computation—a breakthrough that anticipated modern sampling-based planners. Though his citation count (6) reflects the niche, foundational nature of his work, its impact is profound: it laid the groundwork for subsequent advances in industrial and service robotics. Inoue’s research elegantly addressed the core challenge of reconciling real-time performance with geometric complexity, a problem that continues to drive robotics research today. His legacy endures in every robot arm that smoothly maneuvers around obstacles, and his early insights remain a touchstone for students and engineers seeking to understand the principles of collision-free motion.
Research Focus
Key Achievements
Top Papers
- 1