Satoshi Shimakura
Papers
1
Total Citations
2
H-Index
1
About
Satoshi Shimakura’s research centers on mobile robotics, with a particular focus on navigation and obstacle avoidance in complex, uncertain environments. His most cited work, “2A1-G05 Obstacle Avoidance using Particle Control with Potential Method” (2009, 2 citations), introduces a novel planning strategy that addresses the statistical uncertainties inherent in robot observation and locomotion. By integrating particle control with potential field methods, Shimakura’s approach enables mobile robots to dynamically avoid obstacles while accounting for real-world variability—a critical challenge in autonomous navigation. Though his citation count is modest, this work contributes to foundational techniques in robot motion planning, particularly for environments where precision and adaptability are paramount. Shimakura’s research underscores the importance of probabilistic modeling in robotics, offering insights that support safer and more reliable autonomous systems. His efforts are especially relevant for students and researchers exploring sensor uncertainty, path planning, and the practical deployment of mobile robots in unstructured settings.
Research Focus
Key Achievements
Top Papers
- 12A1-G05 Obstacle Avoidance using Particle Control with Potential Method2 citations · 2009