Yutaka Maruoka
Papers
1
Total Citations
3
H-Index
1
About
Yutaka Maruoka is a researcher in robotics and autonomous systems, with a primary focus on mobile robot localization and navigation. His key contributions center on improving self-position estimation for autonomous mobile robots through advanced map-matching techniques. In his most cited work, "Control of Autonomous Mobile Robot Using Map Matching with Optimized Search Range" (2014, 3 citations), Maruoka addresses a critical challenge in map-matching-based positioning: the selection of an adequate matching area to ensure accuracy and efficiency. He proposes an adjustable map-matching method that optimizes the search range, remedying a common defect in conventional approaches. This work has practical implications for enhancing the reliability of autonomous robots in real-world environments, such as warehouses or factories, where precise localization is essential. While his citation count is modest, Maruoka’s research represents a focused effort to solve a specific, impactful problem in mobile robotics, contributing to the broader field of autonomous navigation. His work is particularly relevant for students and researchers interested in sensor fusion, probabilistic localization, and the practical deployment of autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1