Robotic Complex for Harvesting Apple Crops

Oleg Krakhmalev; Sergey Gataullin; Eldar Boltachev; Sergey Korchagin; Ivan Blagoveshchensky; Kang Liang

doi:10.3390/robotics11040077

Robotics (Jul 2022)

Robotic Complex for Harvesting Apple Crops

Oleg Krakhmalev,
Sergey Gataullin,
Eldar Boltachev,
Sergey Korchagin,
Ivan Blagoveshchensky,
Kang Liang

Affiliations

Oleg Krakhmalev: Department of Data Analysis and Machine Learning, Financial University under the Government of the Russian Federation, 4-th Veshnyakovsky Passage, 4, 109456 Moscow, Russia
Sergey Gataullin: Information Security Department, Financial University under the Government of the Russian Federation, 4-th Veshnyakovsky Passage, 4, 109456 Moscow, Russia
Eldar Boltachev: Department of Data Analysis and Machine Learning, Financial University under the Government of the Russian Federation, 4-th Veshnyakovsky Passage, 4, 109456 Moscow, Russia
Sergey Korchagin: Department of Data Analysis and Machine Learning, Financial University under the Government of the Russian Federation, 4-th Veshnyakovsky Passage, 4, 109456 Moscow, Russia
Ivan Blagoveshchensky: Federal State Budgetary Educational Institution of Higher Education, Moscow State University of Food Production, Volokolamsk Highway, Building 11, 125080 Moscow, Russia
Kang Liang: Engineering Training Center, Shanghai Polytechnic University, Shanghai 201209, China

DOI: https://doi.org/10.3390/robotics11040077
Journal volume & issue: Vol. 11, no. 4
p. 77

Abstract

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The article deals with the concept of building an automated system for the harvesting of apple crops. This system is a robotic complex mounted on a tractor cart, including an industrial robot and a packaging system with a container for fruit collection. The robot is equipped with a vacuum gripper and a vision system. A generator for power supply, a vacuum pump for the gripper and an equipment control system are also installed on the cart. The developed automated system will have a high degree of reliability that meets the requirements of operation in the field.

Published in Robotics

ISSN: 2218-6581 (Online)
Publisher: MDPI AG
Country of publisher: Switzerland
LCC subjects: Technology: Mechanical engineering and machinery
Website: http://www.mdpi.com/journal/robotics

About the journal

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