{"authors":[{"id":null,"fullName":"Kathalkar, Om","name":"Om","surname":"Kathalkar","rank":1,"pid":{"id":{"scheme":"orcid_pending","value":"0009-0007-0884-715x"},"provenance":null}},{"id":"orcid_______::cd4bd752b09ab67fe4996edb008c7494","fullName":"Hajj Hassan, Houssam","name":"Houssam","surname":"Hajj Hassan","rank":2,"pid":{"id":{"scheme":"orcid","value":"0000-0001-8455-4577"},"provenance":null}},{"id":"orcid_______::9b3e3ae1bc9d6a0e99d932eb1dc46eea","fullName":"Kattepur, Ajay","name":"Ajay","surname":"Kattepur","rank":3,"pid":{"id":{"scheme":"orcid","value":"0000-0002-6540-1097"},"provenance":null}},{"id":null,"fullName":"Bouloukakis, Georgios","name":"Georgios","surname":"Bouloukakis","rank":4,"pid":{"id":{"scheme":"orcid_pending","value":"0000-0003-0109-9527"},"provenance":null}}],"openAccessColor":null,"publiclyFunded":false,"eoscIfGuidelines":null,"type":"publication","language":{"code":"und","label":"Undetermined"},"countries":null,"subjects":[{"subject":{"scheme":"keyword","value":"Machine Learning"},"provenance":null},{"subject":{"scheme":"FOS","value":"0209 industrial biotechnology"},"provenance":null},{"subject":{"scheme":"keyword","value":"Network-Aware"},"provenance":null},{"subject":{"scheme":"keyword","value":"Autonomous Mobile Robots"},"provenance":null},{"subject":{"scheme":"keyword","value":"Path Planning"},"provenance":null},{"subject":{"scheme":"keyword","value":"Sionna"},"provenance":null},{"subject":{"scheme":"FOS","value":"02 engineering and technology"},"provenance":null},{"subject":{"scheme":"keyword","value":"5G"},"provenance":null},{"subject":{"scheme":"keyword","value":"A* Path Planning"},"provenance":null}],"mainTitle":"Network-Aware Path Planning for Autonomous Mobile Robots in Industrial Environments","subTitle":null,"descriptions":["Autonomous Mobile Robots (AMRs) in industrial environments require reliable wireless connectivity for coordination,control, and safety operations. Traditional path planning algorithms focus solely on geometric constraints, often leadingrobots through areas with poor network coverage that can compromise mission-critical operations. This paper presents acomprehensive framework for network-aware path planning that incorporates wireless network quality metrics as path constraints. We validate our Sionna-based ray-tracing simulations against real-world measurements from the Hernang´omez et al. iV2I+ dataset, achieving strong correlation between simulated and realworld measurements (R² = 0.87 for SNR, 0.82 for throughput). Using this validated simulation framework, we implement three novel path planning algorithms: A* with network constraints, conditional variational autoencoder (CVAE)-based neural path planning, and Graph neural network-based multi-path(GraphMP) planning. Our evaluation demonstrates trade-offs between network quality requirements and path efficiency, withCVAE achieving 95.2% constraint satisfaction and GraphMP showing 23% shorter planning times. We provide practicalguidelines for selecting appropriate algorithms and network quality thresholds based on application requirements, enablingmore reliable AMR operations in industrial settings."],"publicationDate":"2025-12-15","publisher":"IEEE","embargoEndDate":null,"sources":["Crossref","16th International Conference on Ambient Systems, Networks and Technologies"],"formats":null,"contributors":null,"coverages":null,"bestAccessRight":{"code":"c_abf2","label":"OPEN","scheme":"http://vocabularies.coar-repositories.org/documentation/access_rights/"},"container":{"name":"2025 IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS)","issnPrinted":null,"issnOnline":null,"issnLinking":null,"ep":"6","iss":null,"sp":"1","vol":null,"edition":null,"conferencePlace":null,"conferenceDate":null},"documentationUrls":null,"codeRepositoryUrl":null,"programmingLanguage":null,"contactPeople":null,"contactGroups":null,"tools":null,"size":null,"version":null,"geoLocations":null,"id":"doi_dedup___::c1dbd9073753eb2a5891202fbfc5330e","originalIds":["10.1109/ants66931.2025.11430032","50|doiboost____|d61e00899a6bde33f1e6732b6d8613ba","50|datacite____::c1dbd9073753eb2a5891202fbfc5330e","10.5281/zenodo.17830291","50|datacite____::eff4d3e859f189774758fce8eeee7d13","10.5281/zenodo.17830292","50|od______2659::eff4d3e859f189774758fce8eeee7d13","oai:zenodo.org:17830292","50|dblp________::b23a36c92b63f27ce9c37b187a3b049d","10.5281/ZENODO.17830292","50|r3c4b2081b22::ed617764ffc2eaf640c84a80ab215392"],"pids":[{"scheme":"doi","value":"10.1109/ants66931.2025.11430032"},{"scheme":"doi","value":"10.5281/zenodo.17830291"},{"scheme":"doi","value":"10.5281/zenodo.17830292"}],"dateOfCollection":null,"lastUpdateTimeStamp":null,"indicators":{"citationImpact":{"citationCount":0.0,"influence":2.2251732E-9,"popularity":2.342466E-9,"impulse":0.0,"citationClass":"C5","influenceClass":"C5","impulseClass":"C5","popularityClass":"C5"}},"projects":[{"id":"corda_____he::679ba2587b03b4e6c4ca150b628d6975","code":"101135775","acronym":"PANDORA","title":"A Comprehensive Framework enabling the Delivery of Trustworthy Datasets for Efficient AIoT Operation","funder":"European Commission","pids":[{"scheme":"doi","value":"10.3030/101135775"}]}],"organizations":[{"legalName":"INSTITUT POLYTECHNIQUE DE PARIS","acronym":"INSTITUT POLYTECHNIQUE DE PARIS","id":"pending_org_::0c06fd5d1faf9877a433046a827f243f","pids":[{"scheme":"ROR","value":"https://ror.org/042tfbd02"},{"scheme":"OrgReg","value":"FR0459"},{"scheme":"Wikidata","value":"Q48759778"},{"scheme":"wikidata","value":"Q48759778"},{"scheme":"PIC","value":"898809082"},{"scheme":"ISNI","value":"0000000502717600"},{"scheme":"GRID","value":"grid.508893.f"}]}],"communities":[{"code":"eosc","label":"EOSC","provenance":null}],"collectedFrom":[{"key":"openaire____::9e3be59865b2c1c335d32dae2fe7b254","value":"Datacite"},{"key":"opendoar____::358aee4cc897452c00244351e4d91f69","value":"ZENODO"},{"key":"openaire____::081b82f96300b6a6e3d282bad31cb6e2","value":"Crossref"},{"key":"openaire____::d8b68cc0a53121f6f896883a7d60c1db","value":"DBLP"},{"key":"re3data_____::c4b2081b224be6b3e79d0e5e5556f631","value":"European Union Open Data Portal"}],"instances":[{"pids":[{"scheme":"doi","value":"10.1109/ants66931.2025.11430032"}],"license":"STM Policy #29","accessRight":{"code":"c_14cb","label":"CLOSED","scheme":"http://vocabularies.coar-repositories.org/documentation/access_rights/","openAccessRoute":null},"type":"Article","urls":["https://doi.org/10.1109/ants66931.2025.11430032"],"publicationDate":"2025-12-15","refereed":"peerReviewed","hostedBy":{"key":"openaire____::55045bd2a65019fd8e6741a755395c8c","value":"Unknown Repository"},"collectedFrom":{"key":"openaire____::081b82f96300b6a6e3d282bad31cb6e2","value":"Crossref"}},{"pids":[{"scheme":"doi","value":"10.5281/zenodo.17830291"}],"license":"CC BY","type":"Conference object","urls":["https://dx.doi.org/10.5281/zenodo.17830291"],"publicationDate":"2025-12-05","refereed":"nonPeerReviewed","hostedBy":{"key":"opendoar____::358aee4cc897452c00244351e4d91f69","value":"ZENODO"},"collectedFrom":{"key":"openaire____::9e3be59865b2c1c335d32dae2fe7b254","value":"Datacite"}},{"pids":[{"scheme":"doi","value":"10.5281/zenodo.17830292"}],"license":"CC BY","type":"Conference object","urls":["https://dx.doi.org/10.5281/zenodo.17830292"],"publicationDate":"2025-12-05","refereed":"nonPeerReviewed","hostedBy":{"key":"opendoar____::358aee4cc897452c00244351e4d91f69","value":"ZENODO"},"collectedFrom":{"key":"openaire____::9e3be59865b2c1c335d32dae2fe7b254","value":"Datacite"}},{"pids":[{"scheme":"doi","value":"10.5281/zenodo.17830292"}],"alternateIdentifiers":[{"scheme":"oai","value":"oai:zenodo.org:17830292"}],"license":"CC BY","accessRight":{"code":"c_abf2","label":"OPEN","scheme":"http://vocabularies.coar-repositories.org/documentation/access_rights/","openAccessRoute":null},"type":"Conference object","urls":["https://zenodo.org/records/17830292","http://dx.doi.org/10.5281/zenodo.17830292"],"publicationDate":"2025-12-05","refereed":"nonPeerReviewed","hostedBy":{"key":"opendoar____::358aee4cc897452c00244351e4d91f69","value":"ZENODO"},"collectedFrom":{"key":"opendoar____::358aee4cc897452c00244351e4d91f69","value":"ZENODO"}},{"alternateIdentifiers":[{"scheme":"doi","value":"10.1109/ants66931.2025.11430032"}],"type":"Conference object","urls":["https://doi.org/10.1109/ANTS66931.2025.11430032"],"refereed":"nonPeerReviewed","hostedBy":{"key":"openaire____::d8b68cc0a53121f6f896883a7d60c1db","value":"DBLP"},"collectedFrom":{"key":"openaire____::d8b68cc0a53121f6f896883a7d60c1db","value":"DBLP"}},{"alternateIdentifiers":[{"scheme":"doi","value":"10.5281/zenodo.17830292"}],"type":"Conference object","urls":["http://dx.doi.org/10.5281/ZENODO.17830292"],"publicationDate":"2026-01-01","refereed":"nonPeerReviewed","hostedBy":{"key":"openaire____::55045bd2a65019fd8e6741a755395c8c","value":"Unknown Repository"},"collectedFrom":{"key":"re3data_____::c4b2081b224be6b3e79d0e5e5556f631","value":"European Union Open Data Portal"}}],"links":[{"header":{"relationType":"resultProject","relationClass":"isProducedBy","relatedIdentifier":"corda_____he::679ba2587b03b4e6c4ca150b628d6975","relatedRecordType":"project","relationProvenance":"sysimport:crosswalk:repository","trust":"0.9"},"collectedfrom":[{"dsId":"openaire____::3f264f93cf3b0cfc4ede188a6300455c","dsName":"CORDA - COmmon Research DAta Warehouse - Horizon Europe"}],"projectTitle":"A Comprehensive Framework enabling the Delivery of Trustworthy Datasets for Efficient AIoT Operation","code":"101135775","funding":{"funder":{"id":"ec__________::EC","shortname":"EC","name":"European Commission","jurisdiction":{"code":"EU","label":"European Union"},"pid":null},"level0":{"id":"ec__________::EC::HE","description":"Horizon Europe Framework Programme","name":"HE"},"level1":{"id":"ec__________::EC::HE::HORIZON-RIA","description":"HORIZON  Research and Innovation Actions","name":"HORIZON-RIA"},"level2":{"id":null,"description":null,"name":null}},"startDate":"2024-04-01","endDate":"2027-03-31"}],"otherTitles":null,"inDiamondJournal":false,"green":true,"isGreen":true,"isInDiamondJournal":false}