Mikko Miettinen

Papers

Total Citations

110

H-Index

About

Mikko Miettinen is a leading figure in forest robotics, whose pioneering work bridges autonomous navigation and precision forestry. His research centers on simultaneous localization and mapping (SLAM) tailored to the challenging, unstructured environments of forests. Miettinen’s major contribution lies in developing real-time SLAM systems for forest harvesters, enabling these massive machines to accurately localize themselves and build global tree maps using a fusion of 2D laser data and GPS. His 2007 paper, "Simultaneous Localization and Mapping for Forest Harvesters" (69 citations), introduced an incremental mapping approach that remains foundational in the field. A subsequent 2008 work, "Tree Measurement and Simultaneous Localization and Mapping System for Forest Harvesters" (41 citations), extended this system to include automated tree measurement, dramatically improving harvesting efficiency and reducing environmental impact. By solving the problem of reliable localization in GPS-denied forest canopies, Miettinen’s work has directly influenced the design of modern autonomous forestry equipment. His achievements demonstrate how SLAM principles can be adapted from indoor robotics to large-scale outdoor applications, making him a key innovator in both robotics and sustainable forestry.