Shuhei Tomimura

Papers

1

Total Citations

20

H-Index

1

About

Shuhei Tomimura is a researcher at the forefront of integrating robotics and sensing technologies for environmental monitoring and forest management. His work focuses on developing advanced 3D mapping and measurement systems that enable autonomous mobile robots to navigate complex forest environments and accurately assess tree sizes. Tomimura’s most cited paper, "Forest 3D Mapping and Tree Sizes Measurement for Forest Management Based on Sensing Technology for Mobile Robots" (2013), has garnered 20 citations, establishing a foundational approach for using robotic platforms in precision forestry. This contribution addresses critical challenges in sustainable forest management by automating the collection of spatial data, reducing the need for manual surveys, and improving the efficiency of biomass estimation. Tomimura’s research bridges the gap between field robotics and ecological applications, offering practical solutions for real-time forest inventory and environmental conservation. His work is particularly notable for its interdisciplinary impact, influencing both robotic perception algorithms and practical forestry tools. As a researcher, Tomimura continues to advance the capabilities of autonomous systems in natural environments, making his contributions highly relevant for students and professionals interested in robotics, environmental sensing, and sustainable resource management.

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