Localization of Mobile Manipulator in Vineyards for Autonomous Task Execution

Although robotic systems have found their place in agriculture, there are still many challenges, especially in the area of localization in semi-structured environments. A robotic system has been developed and tested to perform various tasks in the steep vineyards of the Mediterranean region. In this...

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Main Authors: Ivan Hrabar, Zdenko Kovačić
Format: Article
Language:English
Published: MDPI AG 2023-03-01
Series:Machines
Subjects:
Online Access:https://www.mdpi.com/2075-1702/11/4/414
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author Ivan Hrabar
Zdenko Kovačić
author_facet Ivan Hrabar
Zdenko Kovačić
author_sort Ivan Hrabar
collection DOAJ
description Although robotic systems have found their place in agriculture, there are still many challenges, especially in the area of localization in semi-structured environments. A robotic system has been developed and tested to perform various tasks in the steep vineyards of the Mediterranean region. In this paper, we describe a method for vine trunk localization, based solely on the visual recognition of vine trunks by neural networks fed by an RGB camera. Assuming that the height of the first wire in the vineyard is known, the proposed method is used to determine the location of vines in the immediate vicinity of the all-terrain mobile manipulator—ATMM-VIV—needed for spraying and bud suckering. The experiment was conducted in a slightly inclined vineyard to evaluate the proposed localization method.
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spelling doaj.art-d04096d361c54afe82d41d063bf419d12023-11-17T20:08:15ZengMDPI AGMachines2075-17022023-03-0111441410.3390/machines11040414Localization of Mobile Manipulator in Vineyards for Autonomous Task ExecutionIvan Hrabar0Zdenko Kovačić1Laboratory for Robotics and Intelligent Control Systems (LARICS), Faculty of Electrical Engineering and Computing, University of Zagreb, Unska 3, 10000 Zagreb, CroatiaLaboratory for Robotics and Intelligent Control Systems (LARICS), Faculty of Electrical Engineering and Computing, University of Zagreb, Unska 3, 10000 Zagreb, CroatiaAlthough robotic systems have found their place in agriculture, there are still many challenges, especially in the area of localization in semi-structured environments. A robotic system has been developed and tested to perform various tasks in the steep vineyards of the Mediterranean region. In this paper, we describe a method for vine trunk localization, based solely on the visual recognition of vine trunks by neural networks fed by an RGB camera. Assuming that the height of the first wire in the vineyard is known, the proposed method is used to determine the location of vines in the immediate vicinity of the all-terrain mobile manipulator—ATMM-VIV—needed for spraying and bud suckering. The experiment was conducted in a slightly inclined vineyard to evaluate the proposed localization method.https://www.mdpi.com/2075-1702/11/4/414autonomous mobile manipulatorvineyardsviticultureprotective sprayingsuckeringlocalization
spellingShingle Ivan Hrabar
Zdenko Kovačić
Localization of Mobile Manipulator in Vineyards for Autonomous Task Execution
Machines
autonomous mobile manipulator
vineyards
viticulture
protective spraying
suckering
localization
title Localization of Mobile Manipulator in Vineyards for Autonomous Task Execution
title_full Localization of Mobile Manipulator in Vineyards for Autonomous Task Execution
title_fullStr Localization of Mobile Manipulator in Vineyards for Autonomous Task Execution
title_full_unstemmed Localization of Mobile Manipulator in Vineyards for Autonomous Task Execution
title_short Localization of Mobile Manipulator in Vineyards for Autonomous Task Execution
title_sort localization of mobile manipulator in vineyards for autonomous task execution
topic autonomous mobile manipulator
vineyards
viticulture
protective spraying
suckering
localization
url https://www.mdpi.com/2075-1702/11/4/414
work_keys_str_mv AT ivanhrabar localizationofmobilemanipulatorinvineyardsforautonomoustaskexecution
AT zdenkokovacic localizationofmobilemanipulatorinvineyardsforautonomoustaskexecution