{"id":"https://openalex.org/W2395553874","doi":"https://doi.org/10.1109/icnsc.2016.7478999","title":"Path planning for multi-robot systems using PSO and Critical Path Schedule Method","display_name":"Path planning for multi-robot systems using PSO and Critical Path Schedule Method","publication_year":2016,"publication_date":"2016-04-01","ids":{"openalex":"https://openalex.org/W2395553874","doi":"https://doi.org/10.1109/icnsc.2016.7478999","mag":"2395553874"},"language":"en","primary_location":{"id":"doi:10.1109/icnsc.2016.7478999","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icnsc.2016.7478999","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE 13th International Conference on Networking, Sensing, and Control (ICNSC)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5026925915","display_name":"Songyang Han","orcid":"https://orcid.org/0000-0001-8314-4832"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Songyang Han","raw_affiliation_strings":["Department of Control and Systems Engineering, School of Management and Engineering","University of Michigan-Shanghai Jiao Tong University Joint Institute, Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Control and Systems Engineering, School of Management and Engineering","institution_ids":[]},{"raw_affiliation_string":"University of Michigan-Shanghai Jiao Tong University Joint Institute, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017968460","display_name":"Xianzhong Zhou","orcid":"https://orcid.org/0000-0003-4321-1441"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xianzhong Zhou","raw_affiliation_strings":["Department of Control and Systems Engineering, School of Management and Engineering","Research Center for Novel Technology of Intelligent Equipment, Nanjing University, Nanjing, Jiangsu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Control and Systems Engineering, School of Management and Engineering","institution_ids":[]},{"raw_affiliation_string":"Research Center for Novel Technology of Intelligent Equipment, Nanjing University, Nanjing, Jiangsu, China","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100697167","display_name":"Chunlin Chen","orcid":"https://orcid.org/0000-0003-3929-4707"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chunlin Chen","raw_affiliation_strings":["Department of Control and Systems Engineering, School of Management and Engineering","Research Center for Novel Technology of Intelligent Equipment, Nanjing University, Nanjing, Jiangsu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Control and Systems Engineering, School of Management and Engineering","institution_ids":[]},{"raw_affiliation_string":"Research Center for Novel Technology of Intelligent Equipment, Nanjing University, Nanjing, Jiangsu, China","institution_ids":["https://openalex.org/I881766915"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10586","display_name":"Robotic Path Planning Algorithms","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10586","display_name":"Robotic Path Planning Algorithms","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T11814","display_name":"Advanced Manufacturing and Logistics Optimization","score":0.9896000027656555,"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"}},{"id":"https://openalex.org/T11615","display_name":"Control and Dynamics of Mobile Robots","score":0.9889000058174133,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/robot","display_name":"Robot","score":0.7892599105834961},{"id":"https://openalex.org/keywords/schedule","display_name":"Schedule","score":0.770892858505249},{"id":"https://openalex.org/keywords/motion-planning","display_name":"Motion planning","score":0.7641409635543823},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6480564475059509},{"id":"https://openalex.org/keywords/path","display_name":"Path (computing)","score":0.6096255779266357},{"id":"https://openalex.org/keywords/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.5940874814987183},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.49265581369400024},{"id":"https://openalex.org/keywords/collision-avoidance","display_name":"Collision avoidance","score":0.4306783080101013},{"id":"https://openalex.org/keywords/collision","display_name":"Collision","score":0.4233374297618866},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.3358367681503296},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.22189146280288696},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.21608567237854004},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11604759097099304}],"concepts":[{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.7892599105834961},{"id":"https://openalex.org/C68387754","wikidata":"https://www.wikidata.org/wiki/Q7271585","display_name":"Schedule","level":2,"score":0.770892858505249},{"id":"https://openalex.org/C81074085","wikidata":"https://www.wikidata.org/wiki/Q366872","display_name":"Motion planning","level":3,"score":0.7641409635543823},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6480564475059509},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.6096255779266357},{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.5940874814987183},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.49265581369400024},{"id":"https://openalex.org/C2780864053","wikidata":"https://www.wikidata.org/wiki/Q5147495","display_name":"Collision avoidance","level":3,"score":0.4306783080101013},{"id":"https://openalex.org/C121704057","wikidata":"https://www.wikidata.org/wiki/Q352070","display_name":"Collision","level":2,"score":0.4233374297618866},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.3358367681503296},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.22189146280288696},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.21608567237854004},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11604759097099304},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icnsc.2016.7478999","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icnsc.2016.7478999","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE 13th International Conference on Networking, Sensing, and Control (ICNSC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W119150805","https://openalex.org/W1525190438","https://openalex.org/W1969483458","https://openalex.org/W1969997114","https://openalex.org/W2004815408","https://openalex.org/W2057170348","https://openalex.org/W2072839015","https://openalex.org/W2098508993","https://openalex.org/W2113043717","https://openalex.org/W2128525534","https://openalex.org/W2147526018","https://openalex.org/W2152745641","https://openalex.org/W2158883244","https://openalex.org/W2166462345","https://openalex.org/W2389568550","https://openalex.org/W2751335644","https://openalex.org/W4244044799","https://openalex.org/W6604858078","https://openalex.org/W6642688120"],"related_works":["https://openalex.org/W4317634134","https://openalex.org/W2981729160","https://openalex.org/W4310743282","https://openalex.org/W2743212448","https://openalex.org/W2889566344","https://openalex.org/W1819938260","https://openalex.org/W2340892746","https://openalex.org/W3163022373","https://openalex.org/W3005999311","https://openalex.org/W4381746183"],"abstract_inverted_index":{"In":[0],"recent":[1],"years,":[2],"there":[3],"are":[4],"more":[5,7],"and":[6,15,25,50,63,91,115],"situations":[8],"that":[9],"need":[10],"robots":[11,85,90,111],"to":[12,21,41,68,75,108,112,129],"do":[13,69],"dangerous":[14],"complex":[16],"works":[17],"instead":[18],"of":[19,36,53,133],"human,":[20],"improve":[22],"the":[23,27,37,46,77,84,89,102,110,117,131,137],"efficiency":[24],"reduce":[26],"risk.":[28],"Path":[29,65],"planning":[30,71],"for":[31,72],"multi-robot":[32,73],"systems":[33,74],"is":[34,57,99,127,139],"one":[35],"most":[38],"important":[39],"problems":[40],"solve":[42],"in":[43,48,141],"practice.":[44],"As":[45],"improvements":[47],"communication":[49],"control":[51],"technology":[52],"robots,":[54],"an":[55],"algorithm":[56],"proposed":[58,100,134],"using":[59],"Particle":[60],"Swarm":[61],"Optimization":[62],"Critical":[64],"Schedule":[66],"Method":[67],"path":[70,107],"reach":[76],"targets":[78],"without":[79],"collision":[80],"not":[81],"only":[82],"between":[83,88],"but":[86],"also":[87],"environment.":[92],"Different":[93],"from":[94],"traditional":[95],"method,":[96],"a":[97,124,142],"schedule":[98],"on":[101],"planned":[103],"optimal":[104],"or":[105],"feasible":[106],"enable":[109],"avoid":[113],"collisions":[114],"minimize":[116],"cost":[118],"such":[119],"as":[120],"time,":[121],"distance.":[122],"Moreover,":[123],"simulation":[125],"experiment":[126],"given":[128],"verify":[130],"validity":[132],"algorithm,":[135],"whereby":[136],"environment":[138],"studied":[140],"two":[143],"dimensional":[144],"free":[145],"space.":[146]},"counts_by_year":[{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
