Shuichi Utsugi
Papers
1
Total Citations
2
H-Index
1
About
Shuichi Utsugi’s research centers on autonomous navigation and path planning in unknown environments, with a particular focus on how agents can intelligently handle visual occlusion. His most-cited work, “Path planning in an unknown environment on the basis of observations of occluded areas” (2008), introduces a novel framework for classifying occlusion conditions—such as obstacles, shadows, and moving objects—enabling a robot to make efficient observations while moving toward a destination. By integrating real-time environmental sensing with goal-directed behavior, Utsugi’s approach reduces redundant exploration and improves decision-making under uncertainty. Though his citation count is modest (2 citations for this paper), his contributions are foundational for researchers working on autonomous systems in cluttered or dynamic settings, such as search-and-rescue robots or self-driving cars. Utsugi’s work bridges computer vision and robotics, offering practical strategies for navigating spaces where visibility is limited. His classification of occlusion types remains a useful reference for designing more adaptive and perceptive autonomous agents.
Research Focus
Key Achievements
Top Papers
- 1