Yoshiharu Koya

Kobe City College of Technology

Papers

1

Total Citations

2

H-Index

1

About

Yoshiharu Koya is a robotics researcher at Kobe City College of Technology, specializing in precision navigation and agricultural automation. His work focuses on developing innovative positioning methods for slow-speed robots, particularly in challenging environments where standard GNSS accuracy falls short. Koya’s major contribution is a successive moving baseline estimation technique that enhances the reliability of satellite-based positioning for autonomous ground vehicles operating at low velocities. This method is critical for applications like the automatic strawberry pollination robot he is helping to develop, where centimeter-level accuracy is essential for delicate tasks. Although his most-cited paper has garnered 2 citations since 2023, the work represents a foundational step in merging GNSS technology with precision agriculture—a field with growing global demand. Koya’s research addresses the practical challenge of making robots robust in real-world, non-ideal conditions, bridging the gap between theoretical positioning algorithms and deployable agricultural systems. His efforts contribute to the broader goal of reducing labor in farming through intelligent automation, positioning him as a promising figure in applied robotics.

Research Focus

Key Achievements

1
H-Index
1
Papers
2
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
A Method of Successive Moving Baseline Estimation of a Slow Speed Robot based on GNSS Positioning
2 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: Kobe City College of Technology

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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