Open Experimental AGV Platform for Dynamic Obstacle Avoidance in Narrow Corridors

Weckx, Sam; Vandewal, Bastiaan; Rademakers, Erwin; Janssen, Karel; Geebelen, Kurt; Wan, Jia; Geest, Roeland De; Perik, Harold; Gillis, Joris; Swevers, Jan; Nunen, Ellen van

doi:10.1109/iv47402.2020.9304749

Cited by 6 publications

(2 citation statements)

References 13 publications

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“…Therefore, articles in this group focused on technologies and methods for collecting real-time data on elements on the AGV route. In the analyzed publications, this data was directly collected by the transport device [95][96][97][98], by using cameras [96,[98][99][100][101][102], laser sensors [95,[99][100][101][103][104][105], and ultrasound [95], as well as indirectly, using sensors located on a human (Ultra-wideband system-UWB) [99,104,[106][107][108]. In some articles, hybrid solutions were presented [101,103,104,109,110,112].…”

Section: Designing a Safe Work Environmentmentioning

confidence: 99%

Interaction between a Human and an AGV System in a Shared Workspace—A Literature Review Identifying Research Areas

Tubis,

Poturaj,

Smok

2024

Sustainability

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Background: This article presents the results of a literature review from 2018 to 2023, which focused on research related to human and AGV system cooperation in a shared workspace. This study defines AGV systems as systems using Automated Guided Vehicles or Autonomous Guided Vehicles. An Automated Guided Vehicle is a cart that follows a guided path, while an Autonomous Guided Vehicle is an Automated Guided Vehicle that is autonomously controlled. The analyses conducted answered two research questions: (RQ1) In what aspects are the human factor examined in publications on the implementation and operation of AGV systems? (RQ2) Has the human-AGV collaboration aspect been analyzed in the context of a sustainable work environment? Methods: The literature review was conducted following the systematic literature review method, using the PRISMA approach. Results: Based on the search of two journal databases, according to the indicated keywords, 1219 documents pertaining to the analyzed issues were identified. The selection and elimination of documents that did not meet the defined criteria made it possible to limit the number of publications to 117 articles and proceedings papers. On this basis, the authors defined a classification framework comprising five basic research categories and nine subcategories. The analyzed documents were classified, and each distinguished group was characterized by describing the results. Conclusions: The development of a two-level classification framework for research from the analyzed area according to the assumptions of the concept map and the identification of research gaps in the area of human-AGV interaction.

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Section: Designing a Safe Work Environmentmentioning

confidence: 99%

Interaction between a Human and an AGV System in a Shared Workspace—A Literature Review Identifying Research Areas

Tubis,

Poturaj,

Smok

2024

Sustainability

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“…Pero no tratan el problema que se aborda en este artículo, el modelado dinámico del AGV, o trabajan con AGVs muy diferentes. Así, en Weckx et al (2020) se aborda el problema de planificación y seguimiento de trayectorias de AGVs, orientada a la evitación dinámica de obstáculos mediante una maniobra de adelantamiento, para una carretilla elevadora autónoma. También en Nguyen et al (2020), se propone un controlador adaptativo que utiliza un modelo de referencia basado en la cinemática de un vehículo guiado automatizado.…”

Section: Estado Del Arteunclassified

Modelado de un AGV híbrido triciclo-diferencial

Sánchez

Sierra-García

Santos

2021

Rev. iberoam. autom. inform. ind.

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En el ámbito industrial se utilizan con frecuencia Vehículos de Guiado Automático (AGV) para el transporte de mercancía puntual, normalmente sustituyendo a los medios de transporte manuales o a las cintas transportadoras, para así reducir costes operativos y errores humanos. Para aumentar el rendimiento de estos sistemas industriales y que puedan realizar funcionalidades más avanzadas, es fundamental desarrollar modelos orientados al control que permitan probar nuevas estrategias y técnicas de control que los hagan más eficientes y seguros. Para ello, en este trabajo se desarrolla un modelo cinemático y dinámico orientado al control de un AGV. El principal objetivo del trabajo es conseguir una representación matemática de la compleja dinámica del AGV Easybot, un vehículo híbrido triciclo-diferencial, que permita estudiar los efectos de carga remolcada y la interacción rueda-suelo. Para ello se ha desarrollado el modelo cinemático de la parte diferencial y del triciclo, y se han combinado ambos entre sí y con el desarrollo de la dinámica del vehículo. Se ha descompuesto el AGV en sus distintos módulos y se han aplicado las ecuaciones de Newton-Euler para obtener las ecuaciones de su comportamiento dinámico. El modelo se ha validado en simulación para diferentes trayectorias, variando la carga y la velocidad.

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