An Industrial Perspective on Multi-Agent Decision Making for Interoperable Robot Navigation following the VDA5050 Standard
This paper provides a perspective on the literature and current challenges in Multi-Agent Systems for interoperable robot navigation in industry. The focus is on the multi-agent decision stack for Autonomous Mobile Robots operating in mixed environments with humans, manually driven vehicles, and leg...
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creator | van Duijkeren, Niels Palmieri, Luigi Lange, Ralph Kleiner, Alexander |
description | This paper provides a perspective on the literature and current challenges in
Multi-Agent Systems for interoperable robot navigation in industry. The focus
is on the multi-agent decision stack for Autonomous Mobile Robots operating in
mixed environments with humans, manually driven vehicles, and legacy Automated
Guided Vehicles. We provide typical characteristics of such Multi-Agent Systems
observed today and how these are expected to change on the short term due to
the new standard VDA5050 and the interoperability framework OpenRMF. We present
recent changes in fleet management standards and the role of open middleware
frameworks like ROS2 reaching industrial-grade quality. Approaches to increase
the robustness and performance of multi-robot navigation systems for
transportation are discussed, and research opportunities are derived. |
doi_str_mv | 10.48550/arxiv.2311.14615 |
format | Article |
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Multi-Agent Systems for interoperable robot navigation in industry. The focus
is on the multi-agent decision stack for Autonomous Mobile Robots operating in
mixed environments with humans, manually driven vehicles, and legacy Automated
Guided Vehicles. We provide typical characteristics of such Multi-Agent Systems
observed today and how these are expected to change on the short term due to
the new standard VDA5050 and the interoperability framework OpenRMF. We present
recent changes in fleet management standards and the role of open middleware
frameworks like ROS2 reaching industrial-grade quality. Approaches to increase
the robustness and performance of multi-robot navigation systems for
transportation are discussed, and research opportunities are derived.</description><identifier>DOI: 10.48550/arxiv.2311.14615</identifier><language>eng</language><subject>Computer Science - Robotics</subject><creationdate>2023-11</creationdate><rights>http://arxiv.org/licenses/nonexclusive-distrib/1.0</rights><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>228,230,780,885</link.rule.ids><linktorsrc>$$Uhttps://arxiv.org/abs/2311.14615$$EView_record_in_Cornell_University$$FView_record_in_$$GCornell_University$$Hfree_for_read</linktorsrc><backlink>$$Uhttps://doi.org/10.48550/arXiv.2311.14615$$DView paper in arXiv$$Hfree_for_read</backlink></links><search><creatorcontrib>van Duijkeren, Niels</creatorcontrib><creatorcontrib>Palmieri, Luigi</creatorcontrib><creatorcontrib>Lange, Ralph</creatorcontrib><creatorcontrib>Kleiner, Alexander</creatorcontrib><title>An Industrial Perspective on Multi-Agent Decision Making for Interoperable Robot Navigation following the VDA5050 Standard</title><description>This paper provides a perspective on the literature and current challenges in
Multi-Agent Systems for interoperable robot navigation in industry. The focus
is on the multi-agent decision stack for Autonomous Mobile Robots operating in
mixed environments with humans, manually driven vehicles, and legacy Automated
Guided Vehicles. We provide typical characteristics of such Multi-Agent Systems
observed today and how these are expected to change on the short term due to
the new standard VDA5050 and the interoperability framework OpenRMF. We present
recent changes in fleet management standards and the role of open middleware
frameworks like ROS2 reaching industrial-grade quality. Approaches to increase
the robustness and performance of multi-robot navigation systems for
transportation are discussed, and research opportunities are derived.</description><subject>Computer Science - Robotics</subject><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>GOX</sourceid><recordid>eNotUMlOwzAUzIUDKnwAJ_wDCXYcZzlGLUulsggqrtGL_RwsjF05bli-nqZwmtFoZqSZJLlgNCtqIegVhC8zZTlnLGNFycRp8tM6snZqP8ZgwJInDOMOZTQTEu_I_d5Gk7YDukhWKM1oZhHejRuI9uGQjBj8DgP0Fsmz730kDzCZAeLs1N5a_zmb4xuS11UrqKDkJYJTENRZcqLBjnj-j4tke3O9Xd6lm8fb9bLdpFBWIpWcV5USeV30hUYQQkKDSjVSKsUEZwVFbBiVB645NrXWXDVQc41cyjJv-CK5_Ks9ju92wXxA-O7mE7rjCfwXhc5Y9w</recordid><startdate>20231124</startdate><enddate>20231124</enddate><creator>van Duijkeren, Niels</creator><creator>Palmieri, Luigi</creator><creator>Lange, Ralph</creator><creator>Kleiner, Alexander</creator><scope>AKY</scope><scope>GOX</scope></search><sort><creationdate>20231124</creationdate><title>An Industrial Perspective on Multi-Agent Decision Making for Interoperable Robot Navigation following the VDA5050 Standard</title><author>van Duijkeren, Niels ; Palmieri, Luigi ; Lange, Ralph ; Kleiner, Alexander</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a675-c3377d5284b4fea55ca9edd9ccdd153140ee910c153f3e98ff3d9a83fe3cc6293</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Computer Science - Robotics</topic><toplevel>online_resources</toplevel><creatorcontrib>van Duijkeren, Niels</creatorcontrib><creatorcontrib>Palmieri, Luigi</creatorcontrib><creatorcontrib>Lange, Ralph</creatorcontrib><creatorcontrib>Kleiner, Alexander</creatorcontrib><collection>arXiv Computer Science</collection><collection>arXiv.org</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>van Duijkeren, Niels</au><au>Palmieri, Luigi</au><au>Lange, Ralph</au><au>Kleiner, Alexander</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>An Industrial Perspective on Multi-Agent Decision Making for Interoperable Robot Navigation following the VDA5050 Standard</atitle><date>2023-11-24</date><risdate>2023</risdate><abstract>This paper provides a perspective on the literature and current challenges in
Multi-Agent Systems for interoperable robot navigation in industry. The focus
is on the multi-agent decision stack for Autonomous Mobile Robots operating in
mixed environments with humans, manually driven vehicles, and legacy Automated
Guided Vehicles. We provide typical characteristics of such Multi-Agent Systems
observed today and how these are expected to change on the short term due to
the new standard VDA5050 and the interoperability framework OpenRMF. We present
recent changes in fleet management standards and the role of open middleware
frameworks like ROS2 reaching industrial-grade quality. Approaches to increase
the robustness and performance of multi-robot navigation systems for
transportation are discussed, and research opportunities are derived.</abstract><doi>10.48550/arxiv.2311.14615</doi><oa>free_for_read</oa></addata></record> |
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subjects | Computer Science - Robotics |
title | An Industrial Perspective on Multi-Agent Decision Making for Interoperable Robot Navigation following the VDA5050 Standard |
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