2022 Volume 9 Issue 2 Pages 177-182
Less and less Japanese are working in the forestry sector. Due to this lack of workforce, dangerous tasks could be delegated to robots. In order to perform this mission, the latter need embedded localization and mapping systems. This paper discusses the implementation of a particle filter based SLAM solver on a dedicated mobile robot called SOMA, developed at Hayashi Laboratory. The proposed approach has been evaluated in a realistic forest simulation and the first results suggest that it could be used in real time
https://ror.org/02278tr80 