Shuhei Kondou

Papers

1

Total Citations

20

H-Index

1

About

Shuhei Kondou is a robotics researcher whose work bridges autonomous navigation and environmental sensing, with a particular focus on forest management applications. His key research areas include mobile robot perception, 3D mapping, and sensor-based measurement systems. Kondou’s most notable contribution is his pioneering work on "Forest 3D Mapping and Tree Sizes Measurement for Forest Management Based on Sensing Technology for Mobile Robots" (2013), which has garnered 20 citations. This study introduced a novel approach to using mobile robot sensing technology—typically developed for indoor or urban environments—for the challenging, unstructured terrain of forests. By enabling robots to autonomously map forest environments and accurately measure tree dimensions, Kondou’s work has significant implications for sustainable forestry, precision agriculture, and environmental monitoring. His research demonstrates how robotic systems can be repurposed for ecological applications, offering a cost-effective and scalable solution for forest inventory and management. Though his citation count is modest, the interdisciplinary nature of his work—combining robotics, computer vision, and forestry—highlights his role in advancing practical, real-world uses of autonomous systems. Kondou’s contributions are particularly valuable for researchers exploring the intersection of robotics and environmental science.

Research Focus

Key Achievements

1
H-Index
1
Papers
20
Total Citations
20
Avg Citations/Paper
🏆 Most Cited Paper
Forest 3D Mapping and Tree Sizes Measurement for Forest Management Based on Sensing Technology for Mobile Robots
20 citations · 2013
📈 Most Prolific Year: 2013 (1 Papers)
🤝 Key Collaborators: 11

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago