We present a solution for autonomous forest inventory with a legged robotic platform. Compared to their wheeled and aerial counterparts, legged platforms offer an attractive balance of endurance and low soil impact for forest applications. In this paper, we present the complete system architecture of our forest inventory solution which includes state estimation, navigation, mission planning, and real-time tree segmentation and trait estimation. We present preliminary results for three campaigns in forests in Finland and the UK and summarize the main outcomes, lessons, and challenges. Our UK experiment at the Forest of Dean with the ANYmal D legged platform, achieved an autonomous survey of a 0.96 hectare plot in 20 min, identifying over 100 trees with typical DBH accuracy of 2 cm.
Cite
@article{arxiv.2404.14157,
title = {Autonomous Forest Inventory with Legged Robots: System Design and Field Deployment},
author = {Matías Mattamala and Nived Chebrolu and Benoit Casseau and Leonard Freißmuth and Jonas Frey and Turcan Tuna and Marco Hutter and Maurice Fallon},
journal= {arXiv preprint arXiv:2404.14157},
year = {2024}
}
Comments
Accepted to the IEEE ICRA Workshop on Field Robotics 2024