{"id":"https://openalex.org/W4403487896","doi":"https://doi.org/10.3233/faia240705","title":"Optimizing Multi-Robot Task Allocation in Dynamic Environments via Heuristic-Guided Reinforcement Learning","display_name":"Optimizing Multi-Robot Task Allocation in Dynamic Environments via Heuristic-Guided Reinforcement Learning","publication_year":2024,"publication_date":"2024-10-16","ids":{"openalex":"https://openalex.org/W4403487896","doi":"https://doi.org/10.3233/faia240705"},"language":"en","primary_location":{"id":"doi:10.3233/faia240705","is_oa":true,"landing_page_url":"https://doi.org/10.3233/faia240705","pdf_url":"https://ebooks.iospress.nl/pdf/doi/10.3233/FAIA240705","source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"},"type":"book-chapter","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://ebooks.iospress.nl/pdf/doi/10.3233/FAIA240705","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5085420217","display_name":"Aritra Pal","orcid":"https://orcid.org/0000-0002-1644-7400"},"institutions":[{"id":"https://openalex.org/I55215948","display_name":"Tata Consultancy Services (India)","ror":"https://ror.org/01b9n8m42","country_code":"IN","type":"company","lineage":["https://openalex.org/I4210086519","https://openalex.org/I55215948"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Aritra Pal","raw_affiliation_strings":["Tata Consultancy Services Research, Mumbai"],"affiliations":[{"raw_affiliation_string":"Tata Consultancy Services Research, Mumbai","institution_ids":["https://openalex.org/I55215948"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065025560","display_name":"Anandsingh Chauhan","orcid":"https://orcid.org/0009-0007-8639-4029"},"institutions":[{"id":"https://openalex.org/I55215948","display_name":"Tata Consultancy Services (India)","ror":"https://ror.org/01b9n8m42","country_code":"IN","type":"company","lineage":["https://openalex.org/I4210086519","https://openalex.org/I55215948"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Anandsingh Chauhan","raw_affiliation_strings":["Tata Consultancy Services Research, Mumbai"],"affiliations":[{"raw_affiliation_string":"Tata Consultancy Services Research, Mumbai","institution_ids":["https://openalex.org/I55215948"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085311610","display_name":"Mayank Baranwal","orcid":"https://orcid.org/0000-0001-9354-2826"},"institutions":[{"id":"https://openalex.org/I162827531","display_name":"Indian Institute of Technology Bombay","ror":"https://ror.org/02qyf5152","country_code":"IN","type":"education","lineage":["https://openalex.org/I162827531"]},{"id":"https://openalex.org/I55215948","display_name":"Tata Consultancy Services (India)","ror":"https://ror.org/01b9n8m42","country_code":"IN","type":"company","lineage":["https://openalex.org/I4210086519","https://openalex.org/I55215948"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Mayank Baranwal","raw_affiliation_strings":["Indian Institute of Technology, Bombay","Tata Consultancy Services Research, Mumbai"],"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology, Bombay","institution_ids":["https://openalex.org/I162827531"]},{"raw_affiliation_string":"Tata Consultancy Services Research, Mumbai","institution_ids":["https://openalex.org/I55215948"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5062933231","display_name":"Ankush Ojha","orcid":"https://orcid.org/0000-0003-0200-8658"},"institutions":[{"id":"https://openalex.org/I4210155099","display_name":"Ernst & Young (Israel)","ror":"https://ror.org/049kt3f30","country_code":"IL","type":"company","lineage":["https://openalex.org/I4210108721","https://openalex.org/I4210155099"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Ankush Ojha","raw_affiliation_strings":["Ernst & Young LLP, Gurugram"],"affiliations":[{"raw_affiliation_string":"Ernst & Young LLP, Gurugram","institution_ids":["https://openalex.org/I4210155099"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5085420217"],"corresponding_institution_ids":["https://openalex.org/I55215948"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.38838869,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10462","display_name":"Reinforcement Learning in Robotics","score":0.9379000067710876,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10462","display_name":"Reinforcement Learning in Robotics","score":0.9379000067710876,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10551","display_name":"Scheduling and Optimization Algorithms","score":0.9092000126838684,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.8878192901611328},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7413845062255859},{"id":"https://openalex.org/keywords/heuristic","display_name":"Heuristic","score":0.6822608113288879},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6613810062408447},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.5492383241653442},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.402679979801178},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.3965991139411926},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.12105011940002441},{"id":"https://openalex.org/keywords/systems-engineering","display_name":"Systems engineering","score":0.0425146222114563}],"concepts":[{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.8878192901611328},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7413845062255859},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.6822608113288879},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6613810062408447},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.5492383241653442},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.402679979801178},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3965991139411926},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.12105011940002441},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0425146222114563}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/faia240705","is_oa":true,"landing_page_url":"https://doi.org/10.3233/faia240705","pdf_url":"https://ebooks.iospress.nl/pdf/doi/10.3233/FAIA240705","source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"}],"best_oa_location":{"id":"doi:10.3233/faia240705","is_oa":true,"landing_page_url":"https://doi.org/10.3233/faia240705","pdf_url":"https://ebooks.iospress.nl/pdf/doi/10.3233/FAIA240705","source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"},"sustainable_development_goals":[{"display_name":"Decent work and economic growth","score":0.6800000071525574,"id":"https://metadata.un.org/sdg/8"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4403487896.pdf"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4306904969","https://openalex.org/W2138720691","https://openalex.org/W4362501864","https://openalex.org/W4380318855","https://openalex.org/W3084456289","https://openalex.org/W2024136090","https://openalex.org/W3213722473","https://openalex.org/W2110944602","https://openalex.org/W3196817267","https://openalex.org/W1976600725"],"abstract_inverted_index":{"In":[0,24],"modern":[1],"warehousing":[2],"environments,":[3],"efficient":[4],"task":[5,35,68,99],"allocation":[6,36],"among":[7],"multiple":[8,134],"robots":[9,63],"is":[10,54],"crucial":[11],"for":[12],"optimizing":[13,102],"productivity":[14],"and":[15,49,64,75,129,145,156],"meeting":[16],"the":[17,29,58,65,103],"ever-increasing":[18],"demands":[19],"of":[20,32,62,105,127,142],"online":[21],"order":[22],"fulfillment.":[23],"this":[25,80],"paper,":[26],"we":[27,84],"address":[28],"challenging":[30],"problem":[31],"real-time":[33],"multi-robot":[34],"(MRTA)":[37],"in":[38,67,125,147],"a":[39,86,121],"warehouse":[40],"setting,":[41],"where":[42],"tasks":[43,106],"appear":[44],"dynamically":[45],"with":[46,152],"corresponding":[47],"start":[48],"end":[50],"locations.":[51],"The":[52,131],"objective":[53],"to":[55,96,107],"minimize":[56],"both":[57],"total":[59,148],"travel":[60],"distance":[61],"delay":[66],"execution":[69,100],"while":[70,101],"considering":[71],"practical":[72],"charging/discharging":[73],"constraints":[74],"collision-free":[76],"navigation.":[77],"To":[78],"tackle":[79],"combinatorially":[81],"hard":[82],"problem,":[83],"propose":[85],"heuristic":[87],"guided":[88],"reinforcement":[89],"learning":[90],"(RL)":[91],"agent,":[92],"HeuRAL-MATE,":[93],"which":[94],"learns":[95],"prioritize":[97],"prompt":[98],"assignment":[104],"robots.":[108],"Our":[109],"proposed":[110],"approach":[111,124,155],"outperforms":[112],"standard":[113],"practices":[114],"like":[115],"First-In-First-Out":[116],"(FIFO),":[117],"as":[118,120],"well":[119],"brute-force":[122,153],"optimal":[123,154],"terms":[126],"efficiency":[128],"performance.":[130],"results":[132],"on":[133],"synthetic":[135],"datasets":[136],"exhibit":[137],"an":[138],"average":[139],"cost":[140],"reduction":[141],"approximately":[143],"8.58%":[144],"10.74%":[146],"expenses":[149],"when":[150],"compared":[151],"FIFO,":[157],"respectively.":[158]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}