Yusuke Fujino

Meiji University, University of Electro-Communications

Papers

4

Total Citations

27

H-Index

3

About

Yusuke Fujino is a robotics researcher specializing in autonomous navigation, teleoperation, and 3D mapping for mobile robots. His work focuses on enabling robots to operate effectively in challenging, real-world environments—from crowded urban settings to low-visibility conditions. Fujino’s most cited paper, “Pre-Driving Needless System for Autonomous Mobile Robots Navigation in Real World Robot Challenge 2013” (11 citations), introduces a navigation approach that leverages pre-collected route data, allowing robots to navigate autonomously without requiring prior traversal of the path. This contribution was demonstrated in the prestigious Tsukuba Challenge, a benchmark for real-world robot autonomy. He also advanced teleoperation under poor visibility with his 2006 paper (9 citations), addressing the limitations of color cameras in degraded visual conditions. Additionally, Fujino contributed to large-scale 3D map construction using autonomous robots, as seen in his 2015 work (5 citations), which integrates navigation with automatic mapping. His earlier development of the wheeled robot HANZO, capable of climbing steps using a 3D range sensor, highlights his focus on overcoming terrain constraints. With a career spanning foundational challenges in field robotics, Fujino’s research continues to influence autonomous systems operating beyond structured environments.

Research Focus

Key Achievements

3
H-Index
4
Papers
27
Total Citations
7
Avg Citations/Paper
🏆 Most Cited Paper
Pre-Driving Needless System for Autonomous Mobile Robots Navigation in Real World Robot Challenge 2013
11 citations · 2014
📈 Most Prolific Year: 2006 (2 Papers)
🤝 Key Collaborators: 12
🏛 Institutions: Meiji University, University of Electro-Communications

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago