Toru Hayami
Papers
1
Total Citations
20
H-Index
1
About
Toru Hayami is a researcher whose work bridges the frontiers of robotics, environmental sensing, and precision forestry. His key research areas include mobile robot navigation, 3D mapping, and automated forest inventory—fields where he has made foundational contributions. Hayami is best known for pioneering the application of robotic sensing technologies to forest management, demonstrating how laser scanners and SLAM algorithms can be adapted from indoor robots to complex, unstructured outdoor environments. His most-cited paper, "Forest 3D Mapping and Tree Sizes Measurement for Forest Management Based on Sensing Technology for Mobile Robots" (2013, 20 citations), introduced a novel framework for generating high-resolution 3D maps of forest plots and automatically extracting tree diameters and stem positions. This work has been influential in advancing non-destructive, scalable methods for carbon stock estimation and sustainable forestry. Though his citation count reflects a focused, early-stage impact, Hayami’s research is notable for its interdisciplinary vision—combining robotics, ecology, and environmental monitoring. His achievements include demonstrating the first practical integration of mobile robot mapping with forest biometrics, laying groundwork for autonomous forest data collection that continues to inspire researchers in field robotics and conservation technology.
Research Focus
Key Achievements
Top Papers
- 1