Publication:

ASMO: Autonomous System for Mowing Operations

Loading...
Thumbnail Image

Date

2020-03-03

Published Version

Published Version

Journal Title

Journal ISSN

Volume Title

Publisher

The Harvard community has made this article openly available. Please share how this access benefits you.

Research Projects

Organizational Units

Journal Issue

Citation

Allen, Christopher. 2018. ASMO: Autonomous System for Mowing Operations. Master's thesis, Harvard Extension School.

Abstract

The goal of this project is to create a heavy-duty autonomous robotic system for mowing complex lawns. To this end, I will mechanize a commercial-grade 27 HP zero-turn mower automating control of it through a computer. The mower will be fully outfitted with various sensors and safety protocols to allow it to mow without operator intervention. The mower will include a custom-built laser guidance system as its primary way of navigating the environment. Software will be written to virtualize multiple laser units into one unit to provide a 360-degree ground level view of the environment. The mower will also include a novel custom-built wheel odometry system impervious to dirt and dust. Software will be written to fuse data from multiple sensor systems to provide accurate odometry data for use in navigation. The navigation system will incorporate a unique custom virtualized mowing environment for path planning purposes. Current homeowner robotic mowers are small and require the installation of wires to guide the robot’s path. Current commercial robotic mowers generally require a remote operator to control the unit. In contrast, ASMO will be a large, commercial grade mower, operating autonomously, without guide wires, inside the work area. This project will develop both software and hardware systems to meet this goal.

Description

Other Available Sources

Research Data

Keywords

Robot, Autonomous, Mowing, Localization, Path Planning, LIDAR, Odometry

Terms of Use

This article is made available under the terms and conditions applicable to Other Posted Material (LAA), as set forth at Terms of Service

Endorsement

Review

Supplemented By

Related Stories