RASberry - Robotic and Autonomous Systems for Berry Production

From, Pal and Grimstad, Lars and Hanheide, Marc and Pearson, Simon and Cielniak, Grzegorz (2018) RASberry - Robotic and Autonomous Systems for Berry Production. Mechanical Engineering Magazine Select Articles, 140 (6). ISSN 0025-6501

Full content URL: http://dx.doi.org/10.1115/1.2018-JUN-6

Documents
RASberry - Robotic and Autonomous Systems for Berry Production
[img]
[Download]
[img]
Preview
PDF
ME-2018-Jun6.pdf - Whole Document
Available under License Creative Commons Attribution-NonCommercial 4.0 International.

230kB
Item Type:Article
Item Status:Live Archive

Abstract

The soft fruit industry is facing unprecedented challenges due to its reliance of manual labour. We are presenting a newly launched robotics initiative which will help to address the issues faced by the industry and enable automation of the main processes involved in soft fruit production. The RASberry project (Robotics and Autonomous Systems for Berry Production) aims to develop autonomous fleets of robots for horticultural industry. To achieve this goal, the project will bridge several current technological gaps including the development of a mobile platform suitable for the strawberry fields, software components for fleet management, in-field navigation and mapping, long-term operation, and safe human-robot collaboration.
In this paper, we provide a general overview of the project, describe the main system components, highlight interesting challenges from a control point of view and then present three specific applications of the robotic fleets in soft fruit production. The applications demonstrate how robotic fleets can benefit the soft fruit industry by significantly decreasing production costs, addressing labour shortages and being the first step towards fully autonomous robotic systems for agriculture.

Keywords:agricultural robotics, in-field transportation, soft fruit production
Subjects:H Engineering > H671 Robotics
H Engineering > H670 Robotics and Cybernetics
Divisions:College of Social Science
ID Code:32874
Deposited On:29 Oct 2018 09:02

Repository Staff Only: item control page