Hiroshi Mizoguhi
National Institute of Advanced Industrial Science and Technology
Papers
1
Total Citations
28
H-Index
1
About
Hiroshi Mizoguchi is a leading figure in robotics and autonomous navigation, with a particular focus on path planning and motion control for mobile robots operating in complex, obstacle-rich environments. His most influential work addresses a fundamental challenge in grid-based path planning: generating smooth, dynamically feasible trajectories that respect vehicle constraints while maintaining a safe distance from obstacles. In his highly cited 2007 paper, Mizoguchi introduced a novel path shortening and smoothing method that refines A* search results into clothoidal curvature paths—curves with linearly changing curvature that are ideal for wheeled robots. Crucially, his approach incorporates a safety margin from obstacles and accounts for the robot’s initial heading, ensuring that the resulting paths are both collision-free and executable. This work, with 28 citations, has become a cornerstone for researchers developing practical navigation systems for autonomous vehicles, service robots, and field robots. Mizoguchi’s contributions bridge the gap between theoretical path planning and real-world deployment, demonstrating how intelligent post-processing of grid-based solutions can yield high-quality, drivable trajectories. His research continues to influence the design of robust, efficient navigation algorithms that prioritize both safety and smoothness.
Research Focus
Key Achievements
Top Papers
- 1