Yukihiro Chiba

Forestry and Forest Products Research Institute

Papers

Total Citations

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About

Yukihiro Chiba is a researcher at the forefront of integrating mobile robotics with environmental sensing, with a primary focus on forest management and ecological monitoring. His work bridges the gap between autonomous navigation and precision forestry, developing methods to map complex natural environments in three dimensions. Chiba’s most cited paper, “Forest 3D Mapping and Tree Sizes Measurement for Forest Management Based on Sensing Technology for Mobile Robots” (2013, 20 citations), introduces a pioneering approach to using robotic sensing—such as LiDAR and stereo vision—to generate high-resolution 3D maps of forests and accurately measure tree dimensions like diameter and height. This contribution is critical for sustainable forestry, enabling automated inventory, biomass estimation, and habitat assessment without destructive sampling. By adapting mobile robot perception algorithms to unstructured outdoor settings, Chiba has advanced the practical deployment of field robotics in agriculture and conservation. His work has influenced subsequent studies in environmental robotics, with citations from researchers in forestry, computer vision, and autonomous systems. Chiba’s research exemplifies how robotic sensing can transform traditional industries, offering scalable, data-driven solutions for managing and preserving natural resources.