Haedam Oh

Papers

Total Citations

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About

Haedam Oh is an emerging researcher at the forefront of forestry robotics and autonomous systems, with a particular focus on applying cutting-edge robotic technologies to forest monitoring and management. Their work addresses a critical challenge in environmental science: making large-scale forest inventory and ecosystem monitoring more efficient and sustainable through intelligent automation. Oh's most significant contributions center on developing practical robotic solutions for complex natural environments. They led the creation of DigiForests, a landmark longitudinal LiDAR dataset specifically designed for forestry robotics applications, filling a crucial gap in available research resources for the community. Their rigorous evaluation of LiDAR-based place recognition systems in dense forest environments — rather than the more commonly studied urban settings — has directly advanced the reliability of autonomous navigation in unstructured terrain. Their work on deploying legged robots for autonomous forest inventory construction further demonstrates a commitment to translating robotics research into real-world forestry applications. With 21 combined citations across three recent publications, Oh's research is gaining meaningful traction within the robotics and environmental monitoring communities. Their work is particularly timely given growing global urgency around climate change, carbon accounting, and sustainable forest management, positioning them as a promising contributor to the intersection of robotics, ecology, and environmental sustainability.