A Travelling Salesman Problem Approach to Efficiently Navigate Crop Row Fields with a Car-Like Robot
- Autores
- Ait, Ismael; Kofman, Ernesto Javier; Pire, Taihú Aguará Nahuel
- Año de publicación
- 2023
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- In recent years, interest in the use of mobile robots in the agricultural industry has increased, both to address labor shortages in rural areas and to increase food production in a more sustainable way. In order to have an efficient navigation system to cover long crop row fields, a path planner algorithm must consider maneuvering restrictions of the targeted robot. Most state-of-the-art works in agricultural navigation systems are intended for robots with a high degree of maneuverability that can typically make in-place turnings. This work aims to fill the gap in terms of the development of an efficient navigation system for car-like robots with limited turning radius in crop row fields. For this, we combine the global path planner A* and the local trajectory planner Timed Elastic Band (TEB). Additionally, we state the problem of finding an optimal path that covers the entire field as a Travelling Salesman Problem (TSP) that is based on the different turning maneuvers the robot can perform at field headlands. The solution of the TSP results in a time efficient coverage strategy that aligns with the robot´s kinematics. Experiments performed in the Gazebo simulation environment show a reduction in field completion times of up to 20%, compared to trivial coverage paths. On the other hand, deviation of the robot with respect to the center of the field furrows was in all cases less than 10cm, which proves that the entire system operates with sufficient accuracy to avoid damaging the crops.
Fil: Ait, Ismael. Universidad Nacional de Rosario; Argentina
Fil: Kofman, Ernesto Javier. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario. Centro Internacional Franco Argentino de Ciencias de la Información y de Sistemas. Universidad Nacional de Rosario. Centro Internacional Franco Argentino de Ciencias de la Información y de Sistemas; Argentina
Fil: Pire, Taihú Aguará Nahuel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario. Centro Internacional Franco Argentino de Ciencias de la Información y de Sistemas. Universidad Nacional de Rosario. Centro Internacional Franco Argentino de Ciencias de la Información y de Sistemas; Argentina - Materia
-
AUTONOMOUS NAVIGATION
ROBOT SIMULATION
PRECISION AGRICULTURE
AGRICULTURAL ROBOTICS
TRAVELLING SALESMAN PROBLEM - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
- Repositorio
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/231597
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A Travelling Salesman Problem Approach to Efficiently Navigate Crop Row Fields with a Car-Like RobotAit, IsmaelKofman, Ernesto JavierPire, Taihú Aguará NahuelAUTONOMOUS NAVIGATIONROBOT SIMULATIONPRECISION AGRICULTUREAGRICULTURAL ROBOTICSTRAVELLING SALESMAN PROBLEMhttps://purl.org/becyt/ford/2.2https://purl.org/becyt/ford/2In recent years, interest in the use of mobile robots in the agricultural industry has increased, both to address labor shortages in rural areas and to increase food production in a more sustainable way. In order to have an efficient navigation system to cover long crop row fields, a path planner algorithm must consider maneuvering restrictions of the targeted robot. Most state-of-the-art works in agricultural navigation systems are intended for robots with a high degree of maneuverability that can typically make in-place turnings. This work aims to fill the gap in terms of the development of an efficient navigation system for car-like robots with limited turning radius in crop row fields. For this, we combine the global path planner A* and the local trajectory planner Timed Elastic Band (TEB). Additionally, we state the problem of finding an optimal path that covers the entire field as a Travelling Salesman Problem (TSP) that is based on the different turning maneuvers the robot can perform at field headlands. The solution of the TSP results in a time efficient coverage strategy that aligns with the robot´s kinematics. Experiments performed in the Gazebo simulation environment show a reduction in field completion times of up to 20%, compared to trivial coverage paths. On the other hand, deviation of the robot with respect to the center of the field furrows was in all cases less than 10cm, which proves that the entire system operates with sufficient accuracy to avoid damaging the crops.Fil: Ait, Ismael. Universidad Nacional de Rosario; ArgentinaFil: Kofman, Ernesto Javier. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario. Centro Internacional Franco Argentino de Ciencias de la Información y de Sistemas. Universidad Nacional de Rosario. Centro Internacional Franco Argentino de Ciencias de la Información y de Sistemas; ArgentinaFil: Pire, Taihú Aguará Nahuel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario. Centro Internacional Franco Argentino de Ciencias de la Información y de Sistemas. Universidad Nacional de Rosario. Centro Internacional Franco Argentino de Ciencias de la Información y de Sistemas; ArgentinaInstitute of Electrical and Electronics Engineers2023-04info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/231597Ait, Ismael; Kofman, Ernesto Javier; Pire, Taihú Aguará Nahuel; A Travelling Salesman Problem Approach to Efficiently Navigate Crop Row Fields with a Car-Like Robot; Institute of Electrical and Electronics Engineers; IEEE Latin America Transactions; 21; 5; 4-2023; 643-6511548-0992CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://latamt.ieeer9.org/index.php/transactions/article/view/7751info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-10-22T11:29:27Zoai:ri.conicet.gov.ar:11336/231597instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-10-22 11:29:27.564CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse |
dc.title.none.fl_str_mv |
A Travelling Salesman Problem Approach to Efficiently Navigate Crop Row Fields with a Car-Like Robot |
title |
A Travelling Salesman Problem Approach to Efficiently Navigate Crop Row Fields with a Car-Like Robot |
spellingShingle |
A Travelling Salesman Problem Approach to Efficiently Navigate Crop Row Fields with a Car-Like Robot Ait, Ismael AUTONOMOUS NAVIGATION ROBOT SIMULATION PRECISION AGRICULTURE AGRICULTURAL ROBOTICS TRAVELLING SALESMAN PROBLEM |
title_short |
A Travelling Salesman Problem Approach to Efficiently Navigate Crop Row Fields with a Car-Like Robot |
title_full |
A Travelling Salesman Problem Approach to Efficiently Navigate Crop Row Fields with a Car-Like Robot |
title_fullStr |
A Travelling Salesman Problem Approach to Efficiently Navigate Crop Row Fields with a Car-Like Robot |
title_full_unstemmed |
A Travelling Salesman Problem Approach to Efficiently Navigate Crop Row Fields with a Car-Like Robot |
title_sort |
A Travelling Salesman Problem Approach to Efficiently Navigate Crop Row Fields with a Car-Like Robot |
dc.creator.none.fl_str_mv |
Ait, Ismael Kofman, Ernesto Javier Pire, Taihú Aguará Nahuel |
author |
Ait, Ismael |
author_facet |
Ait, Ismael Kofman, Ernesto Javier Pire, Taihú Aguará Nahuel |
author_role |
author |
author2 |
Kofman, Ernesto Javier Pire, Taihú Aguará Nahuel |
author2_role |
author author |
dc.subject.none.fl_str_mv |
AUTONOMOUS NAVIGATION ROBOT SIMULATION PRECISION AGRICULTURE AGRICULTURAL ROBOTICS TRAVELLING SALESMAN PROBLEM |
topic |
AUTONOMOUS NAVIGATION ROBOT SIMULATION PRECISION AGRICULTURE AGRICULTURAL ROBOTICS TRAVELLING SALESMAN PROBLEM |
purl_subject.fl_str_mv |
https://purl.org/becyt/ford/2.2 https://purl.org/becyt/ford/2 |
dc.description.none.fl_txt_mv |
In recent years, interest in the use of mobile robots in the agricultural industry has increased, both to address labor shortages in rural areas and to increase food production in a more sustainable way. In order to have an efficient navigation system to cover long crop row fields, a path planner algorithm must consider maneuvering restrictions of the targeted robot. Most state-of-the-art works in agricultural navigation systems are intended for robots with a high degree of maneuverability that can typically make in-place turnings. This work aims to fill the gap in terms of the development of an efficient navigation system for car-like robots with limited turning radius in crop row fields. For this, we combine the global path planner A* and the local trajectory planner Timed Elastic Band (TEB). Additionally, we state the problem of finding an optimal path that covers the entire field as a Travelling Salesman Problem (TSP) that is based on the different turning maneuvers the robot can perform at field headlands. The solution of the TSP results in a time efficient coverage strategy that aligns with the robot´s kinematics. Experiments performed in the Gazebo simulation environment show a reduction in field completion times of up to 20%, compared to trivial coverage paths. On the other hand, deviation of the robot with respect to the center of the field furrows was in all cases less than 10cm, which proves that the entire system operates with sufficient accuracy to avoid damaging the crops. Fil: Ait, Ismael. Universidad Nacional de Rosario; Argentina Fil: Kofman, Ernesto Javier. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario. Centro Internacional Franco Argentino de Ciencias de la Información y de Sistemas. Universidad Nacional de Rosario. Centro Internacional Franco Argentino de Ciencias de la Información y de Sistemas; Argentina Fil: Pire, Taihú Aguará Nahuel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario. Centro Internacional Franco Argentino de Ciencias de la Información y de Sistemas. Universidad Nacional de Rosario. Centro Internacional Franco Argentino de Ciencias de la Información y de Sistemas; Argentina |
description |
In recent years, interest in the use of mobile robots in the agricultural industry has increased, both to address labor shortages in rural areas and to increase food production in a more sustainable way. In order to have an efficient navigation system to cover long crop row fields, a path planner algorithm must consider maneuvering restrictions of the targeted robot. Most state-of-the-art works in agricultural navigation systems are intended for robots with a high degree of maneuverability that can typically make in-place turnings. This work aims to fill the gap in terms of the development of an efficient navigation system for car-like robots with limited turning radius in crop row fields. For this, we combine the global path planner A* and the local trajectory planner Timed Elastic Band (TEB). Additionally, we state the problem of finding an optimal path that covers the entire field as a Travelling Salesman Problem (TSP) that is based on the different turning maneuvers the robot can perform at field headlands. The solution of the TSP results in a time efficient coverage strategy that aligns with the robot´s kinematics. Experiments performed in the Gazebo simulation environment show a reduction in field completion times of up to 20%, compared to trivial coverage paths. On the other hand, deviation of the robot with respect to the center of the field furrows was in all cases less than 10cm, which proves that the entire system operates with sufficient accuracy to avoid damaging the crops. |
publishDate |
2023 |
dc.date.none.fl_str_mv |
2023-04 |
dc.type.none.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion http://purl.org/coar/resource_type/c_6501 info:ar-repo/semantics/articulo |
format |
article |
status_str |
publishedVersion |
dc.identifier.none.fl_str_mv |
http://hdl.handle.net/11336/231597 Ait, Ismael; Kofman, Ernesto Javier; Pire, Taihú Aguará Nahuel; A Travelling Salesman Problem Approach to Efficiently Navigate Crop Row Fields with a Car-Like Robot; Institute of Electrical and Electronics Engineers; IEEE Latin America Transactions; 21; 5; 4-2023; 643-651 1548-0992 CONICET Digital CONICET |
url |
http://hdl.handle.net/11336/231597 |
identifier_str_mv |
Ait, Ismael; Kofman, Ernesto Javier; Pire, Taihú Aguará Nahuel; A Travelling Salesman Problem Approach to Efficiently Navigate Crop Row Fields with a Car-Like Robot; Institute of Electrical and Electronics Engineers; IEEE Latin America Transactions; 21; 5; 4-2023; 643-651 1548-0992 CONICET Digital CONICET |
dc.language.none.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
info:eu-repo/semantics/altIdentifier/url/https://latamt.ieeer9.org/index.php/transactions/article/view/7751 |
dc.rights.none.fl_str_mv |
info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by-nc-sa/2.5/ar/ |
eu_rights_str_mv |
openAccess |
rights_invalid_str_mv |
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/ |
dc.format.none.fl_str_mv |
application/pdf application/pdf |
dc.publisher.none.fl_str_mv |
Institute of Electrical and Electronics Engineers |
publisher.none.fl_str_mv |
Institute of Electrical and Electronics Engineers |
dc.source.none.fl_str_mv |
reponame:CONICET Digital (CONICET) instname:Consejo Nacional de Investigaciones Científicas y Técnicas |
reponame_str |
CONICET Digital (CONICET) |
collection |
CONICET Digital (CONICET) |
instname_str |
Consejo Nacional de Investigaciones Científicas y Técnicas |
repository.name.fl_str_mv |
CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas |
repository.mail.fl_str_mv |
dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar |
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1846781880372822016 |
score |
12.982451 |