Ryosuke Kusakari

Papers

1

Total Citations

12

H-Index

1

About

Ryosuke Kusakari is a researcher whose work lies at the intersection of autonomous navigation and environmental perception. His key research areas include robust road-following systems, map-based localization, and real-world robotic navigation. Kusakari’s major contribution is the development of a novel autonomous navigation system that relies on a simple Edge-Node Graph created from an electronic map. This system integrates localization—estimating the robot’s position on the graph—with environmental recognition, enabling reliable road-following without the need for complex or pre-mapped environments. His most-cited paper, "Robust Road-Following Navigation System with a Simple Map" (2018), has garnered 12 citations, demonstrating its relevance in the field of mobile robotics. This work is notable for its practical, minimalist approach to navigation, offering a scalable solution for autonomous vehicles operating in unstructured or semi-structured settings. Kusakari’s research is particularly valuable for students and engineers seeking efficient, low-cost navigation strategies that balance simplicity with robustness.

Research Focus

Key Achievements

1
H-Index
1
Papers
12
Total Citations
12
Avg Citations/Paper
🏆 Most Cited Paper
Robust Road-Following Navigation System with a Simple Map
12 citations · 2018
📈 Most Prolific Year: 2018 (1 Papers)
🤝 Key Collaborators: 9

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago