JRM Vol.30 No.2 pp. 223-230
doi: 10.20965/jrm.2018.p0223

Development Report:

Robot Navigation in Forest Management

Abbe Mowshowitz*, Ayumu Tominaga**, and Eiji Hayashi**

*Department of Computer Science, The City College of New York (CUNY)
Convent Avenue at 138th Street, New York, NY 10031, USA

**Graduate School of Computer Science and Systems Engineering, Kyushu Institute of Technology
680-4 Kawazu, Iizuka, Fukuoka 820-8502, Japan

September 27, 2017
February 1, 2018
April 20, 2018
robotics in forestry, forest management, mobile robot, autonomous robot, computed trajectory

This paper addresses the problem of using a mobile, autonomous robot to manage a forest whose trees are destined for eventual harvesting. “Manage” in this context means periodical weeding between all the trees in the forest. We have constructed a robotic system enabling an autonomous robot to move between the trees without damaging them and to cut the weeds as it traverses the forest. This was accomplished by 1) computing a trajectory for the robot in advance of its entrance into the forest, and 2) developing a program and equipping the robot with the instruments needed to follow the trajectory. Computation of a trajectory in a forest is facilitated by treating the trees as vertices in a graph. Current, laser-based instruments make it possible to identify individual trees and compute distances between them. With this information a forest can be represented as a weighted graph. This graph can then be modified systematically in a way that allows for computing a Hamiltonian circuit that passes between each pair of trees. This representation is an instance of the well known Travelling Salesman Problem. The theory was put into practice in an experimental forest located at the Kyushu Institute of Technology. Our robot “SOMA,” built on an ATV platform, was able to follow a part of the trajectory computed for this small forest, thus demonstrating the feasibility of forest maintenance by an autonomous, labor saving robot.

Robot trajectory: Optimized Hamiltonian circuit derived from L(H*).

Robot trajectory: Optimized Hamiltonian circuit derived from L(H*).

Cite this article as:
A. Mowshowitz, A. Tominaga, and E. Hayashi, “Robot Navigation in Forest Management,” J. Robot. Mechatron., Vol.30 No.2, pp. 223-230, 2018.
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Last updated on Jul. 12, 2024