{"id":"https://openalex.org/W2995474402","doi":"https://doi.org/10.1109/acirs.2019.8936004","title":"Robot Path Planning with Low Learning Cost Using a Novel K-means-based Pointer Networks","display_name":"Robot Path Planning with Low Learning Cost Using a Novel K-means-based Pointer Networks","publication_year":2019,"publication_date":"2019-07-01","ids":{"openalex":"https://openalex.org/W2995474402","doi":"https://doi.org/10.1109/acirs.2019.8936004","mag":"2995474402"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/acirs.2019.8936004","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"proceedings-article","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/A5045632269","display_name":"W. C. Wang","orcid":"https://orcid.org/0000-0002-4833-9068"},"institutions":[{"id":"https://openalex.org/I25846049","display_name":"National Tsing Hua University","ror":"https://ror.org/00zdnkx70","country_code":"TW","type":"funder","lineage":["https://openalex.org/I25846049"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"W. C. Wang","raw_affiliation_strings":["Power Mechanical Engineering, National Tsing Hua University, Hsinchu City, Taiwan"],"affiliations":[{"raw_affiliation_string":"Power Mechanical Engineering, National Tsing Hua University, Hsinchu City, Taiwan","institution_ids":["https://openalex.org/I25846049"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5030714502","display_name":"Rongshun Chen","orcid":"https://orcid.org/0000-0002-6590-8787"},"institutions":[{"id":"https://openalex.org/I25846049","display_name":"National Tsing Hua University","ror":"https://ror.org/00zdnkx70","country_code":"TW","type":"funder","lineage":["https://openalex.org/I25846049"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"R. Chen","raw_affiliation_strings":["Power Mechanical Engineering, National Tsing Hua University, Hsinchu City, Taiwan"],"affiliations":[{"raw_affiliation_string":"Power Mechanical Engineering, National Tsing Hua University, Hsinchu City, Taiwan","institution_ids":["https://openalex.org/I25846049"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.337,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.353722,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":74,"max":76},"biblio":{"volume":null,"issue":null,"first_page":"84","last_page":"88"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T11439","display_name":"Video Analysis and Summarization","score":0.9984,"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/T11439","display_name":"Video Analysis and Summarization","score":0.9984,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9932,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9848,"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"}}],"keywords":[],"concepts":[{"id":"https://openalex.org/C150202949","wikidata":"https://www.wikidata.org/wiki/Q107602","display_name":"Pointer (user interface)","level":2,"score":0.8155635},{"id":"https://openalex.org/C81074085","wikidata":"https://www.wikidata.org/wiki/Q366872","display_name":"Motion planning","level":3,"score":0.7239442},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.71237856},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.65043557},{"id":"https://openalex.org/C22590252","wikidata":"https://www.wikidata.org/wiki/Q1058754","display_name":"Shortest path problem","level":3,"score":0.61375844},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.4824053},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47526616},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.44809487},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.35174888},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.17456314},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0659374},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/acirs.2019.8936004","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/8","score":0.53,"display_name":"Decent work and economic growth"}],"grants":[],"datasets":[],"versions":[],"referenced_works_count":18,"referenced_works":["https://openalex.org/W1493454437","https://openalex.org/W1971483538","https://openalex.org/W1971784203","https://openalex.org/W1992419399","https://openalex.org/W2130942839","https://openalex.org/W2132549764","https://openalex.org/W2133564696","https://openalex.org/W2319660501","https://openalex.org/W2507756961","https://openalex.org/W2786202616","https://openalex.org/W2804566611","https://openalex.org/W2891609133","https://openalex.org/W2894308381","https://openalex.org/W2911910046","https://openalex.org/W2949991290","https://openalex.org/W2952332632","https://openalex.org/W2964308564","https://openalex.org/W2999729612"],"related_works":["https://openalex.org/W4388218401","https://openalex.org/W4255928847","https://openalex.org/W3197207153","https://openalex.org/W3138952546","https://openalex.org/W2394051415","https://openalex.org/W2387387477","https://openalex.org/W2380019117","https://openalex.org/W2369187583","https://openalex.org/W2359600231","https://openalex.org/W1660309994"],"abstract_inverted_index":{"Robot-path-planning":[0],"is":[1],"an":[2],"important":[3],"research":[4],"that":[5,100],"seeks":[6],"the":[7,12,19,26,35,39,59,65,71,88,101,106,112,120,126,141,149,157,160],"shortest":[8,40],"path":[9,41],"to":[10,47,63,86,148],"optimize":[11],"motion":[13],"cost":[14,90,104],"for":[15,29,38,137,155,159],"robots.":[16],"In":[17,139],"robot-path-planning,":[18],"computational":[20,102],"time":[21,103],"will":[22],"significantly":[23,110],"increase":[24],"if":[25],"moving":[27],"targets":[28],"a":[30,55,164],"robot":[31,162],"rise":[32],"largely,":[33],"while":[34,119],"current":[36],"algorithms":[37],"planning":[42],"may":[43],"be":[44,145],"invalidated":[45],"due":[46],"large":[48,152],"input":[49,113,129,135,153],"data.":[50,95],"This":[51],"work":[52,83,143],"thus":[53],"proposes":[54],"hybrid":[56],"algorithm,":[57],"called":[58],"k-means-based":[60],"pointer":[61,75],"network,":[62,76],"tackle":[64],"problem":[66],"mentioned":[67],"above.":[68],"By":[69],"combining":[70],"k-means":[72],"clustering":[73],"and":[74,78],"unsupervised":[77],"supervised":[79],"learning":[80,89],"respectively,":[81],"this":[82],"demonstrates":[84],"how":[85],"lower":[87],"drastically":[91],"with":[92],"smaller":[93,134],"training":[94],"The":[96],"simulation":[97],"results":[98],"show":[99],"of":[105,128,132,151],"Held-Karp":[107],"algorithm":[108,122],"grows":[109],"when":[111],"size":[114,130],"increases":[115],"in":[116,163],"some":[117],"amount,":[118],"proposed":[121,142],"climbs":[123],"slightly":[124],"during":[125],"increments":[127],"because":[131],"using":[133],"data":[136],"Ptr-Net.":[138],"applications,":[140],"can":[144],"applied":[146],"practically":[147],"case":[150],"size,":[154],"example,":[156],"employment":[158],"ball-collecting":[161],"golf":[165],"court.":[166]},"abstract_inverted_index_v3":null,"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W2995474402","counts_by_year":[{"year":2022,"cited_by_count":3}],"updated_date":"2025-04-20T14:52:55.199715","created_date":"2019-12-26"}