{"id":"https://openalex.org/W3089577360","doi":"https://doi.org/10.1109/ijcnn48605.2020.9207308","title":"A Few-shot Dynamic Obstacle Avoidance Strategy in Unknown Environments","display_name":"A Few-shot Dynamic Obstacle Avoidance Strategy in Unknown Environments","publication_year":2020,"publication_date":"2020-07-01","ids":{"openalex":"https://openalex.org/W3089577360","doi":"https://doi.org/10.1109/ijcnn48605.2020.9207308","mag":"3089577360"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn48605.2020.9207308","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn48605.2020.9207308","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},"type":"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/A5029719402","display_name":"Xiaoxiao Li","orcid":"https://orcid.org/0000-0002-3789-2271"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiaoxiao Li","raw_affiliation_strings":["Dept of Computer Science and Engineering, South China University of Technology, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"Dept of Computer Science and Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083973158","display_name":"Sheng Bi","orcid":"https://orcid.org/0000-0001-5830-0629"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sheng Bi","raw_affiliation_strings":["Dept of Computer Science and Engineering, South China University of Technology, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"Dept of Computer Science and Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100670685","display_name":"Yongxing Wang","orcid":"https://orcid.org/0000-0003-2191-6379"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongxing Wang","raw_affiliation_strings":["Dept of Computer Science and Engineering, South China University of Technology, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"Dept of Computer Science and Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055608769","display_name":"Min Dong","orcid":"https://orcid.org/0000-0002-5907-8318"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Min Dong","raw_affiliation_strings":["Dept of Computer Science and Engineering, South China University of Technology, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"Dept of Computer Science and Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060651115","display_name":"Zhangshao Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhangshao Chen","raw_affiliation_strings":["Dept of Computer Science and Engineering, South China University of Technology, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"Dept of Computer Science and Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5029719402"],"corresponding_institution_ids":["https://openalex.org/I90610280"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.10403643,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"42","issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9966999888420105,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9966999888420105,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9965999722480774,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.989300012588501,"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":[{"id":"https://openalex.org/keywords/generality","display_name":"Generality","score":0.8534923195838928},{"id":"https://openalex.org/keywords/obstacle-avoidance","display_name":"Obstacle avoidance","score":0.8294187784194946},{"id":"https://openalex.org/keywords/mobile-robot","display_name":"Mobile robot","score":0.8190393447875977},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7041263580322266},{"id":"https://openalex.org/keywords/obstacle","display_name":"Obstacle","score":0.7011046409606934},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6035507917404175},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.572907567024231},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.4446891248226166},{"id":"https://openalex.org/keywords/collision-avoidance","display_name":"Collision avoidance","score":0.4401228427886963},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.193756103515625},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.09009906649589539}],"concepts":[{"id":"https://openalex.org/C2780767217","wikidata":"https://www.wikidata.org/wiki/Q5532421","display_name":"Generality","level":2,"score":0.8534923195838928},{"id":"https://openalex.org/C6683253","wikidata":"https://www.wikidata.org/wiki/Q7075535","display_name":"Obstacle avoidance","level":4,"score":0.8294187784194946},{"id":"https://openalex.org/C19966478","wikidata":"https://www.wikidata.org/wiki/Q4810574","display_name":"Mobile robot","level":3,"score":0.8190393447875977},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7041263580322266},{"id":"https://openalex.org/C2776650193","wikidata":"https://www.wikidata.org/wiki/Q264661","display_name":"Obstacle","level":2,"score":0.7011046409606934},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6035507917404175},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.572907567024231},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.4446891248226166},{"id":"https://openalex.org/C2780864053","wikidata":"https://www.wikidata.org/wiki/Q5147495","display_name":"Collision avoidance","level":3,"score":0.4401228427886963},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.193756103515625},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.09009906649589539},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C121704057","wikidata":"https://www.wikidata.org/wiki/Q352070","display_name":"Collision","level":2,"score":0.0},{"id":"https://openalex.org/C542102704","wikidata":"https://www.wikidata.org/wiki/Q183257","display_name":"Psychotherapist","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn48605.2020.9207308","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn48605.2020.9207308","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.6899999976158142}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":50,"referenced_works":["https://openalex.org/W99615980","https://openalex.org/W1793121960","https://openalex.org/W1903029394","https://openalex.org/W2070510243","https://openalex.org/W2096930758","https://openalex.org/W2115733720","https://openalex.org/W2155893237","https://openalex.org/W2163650400","https://openalex.org/W2472819217","https://openalex.org/W2485064035","https://openalex.org/W2562555892","https://openalex.org/W2565555125","https://openalex.org/W2593331594","https://openalex.org/W2601450892","https://openalex.org/W2604763608","https://openalex.org/W2732319713","https://openalex.org/W2753160622","https://openalex.org/W2787501667","https://openalex.org/W2788357188","https://openalex.org/W2798603908","https://openalex.org/W2808498263","https://openalex.org/W2910645997","https://openalex.org/W2914825457","https://openalex.org/W2937153231","https://openalex.org/W2942307437","https://openalex.org/W2951008357","https://openalex.org/W2955425717","https://openalex.org/W2962724383","https://openalex.org/W2962968458","https://openalex.org/W2963192573","https://openalex.org/W2963341924","https://openalex.org/W2963918968","https://openalex.org/W2964105864","https://openalex.org/W2964249870","https://openalex.org/W2970971581","https://openalex.org/W3186014234","https://openalex.org/W4244497973","https://openalex.org/W6638318767","https://openalex.org/W6717697761","https://openalex.org/W6720057410","https://openalex.org/W6734525503","https://openalex.org/W6735236233","https://openalex.org/W6736057607","https://openalex.org/W6740402285","https://openalex.org/W6743661861","https://openalex.org/W6747943641","https://openalex.org/W6748588790","https://openalex.org/W6752940074","https://openalex.org/W6760935663","https://openalex.org/W6762718338"],"related_works":["https://openalex.org/W2930076404","https://openalex.org/W4253519380","https://openalex.org/W2071957557","https://openalex.org/W2596413128","https://openalex.org/W4391249562","https://openalex.org/W2356867392","https://openalex.org/W2913749762","https://openalex.org/W2321940404","https://openalex.org/W2782776446","https://openalex.org/W3043170174"],"abstract_inverted_index":{"Obstacle":[0],"avoidance":[1,49,100],"is":[2],"one":[3],"of":[4,8,15,33,109,141],"the":[5,13,16,31,93,104,113,130,133,142],"basic":[6],"capabilities":[7],"intelligent":[9],"mobile":[10,19,34,62,94,114],"robots.":[11],"With":[12],"diversification":[14],"application":[17,139],"environment,":[18],"robots":[20,63],"are":[21,149],"required":[22],"to":[23,51,67,77,85,92,128],"avoid":[24],"obstacles":[25],"with":[26],"higher":[27,54],"generality.":[28],"Benefit":[29],"from":[30,72],"development":[32],"platform":[35,116],"and":[36,89,96,121],"deep":[37],"learning":[38,71],"algorithm":[39],"in":[40,103],"recent":[41],"years,":[42],"we":[43,81],"conceive":[44],"a":[45,87,118,146],"few-shot":[46],"dynamic":[47],"obstacle":[48,99],"strategy":[50,84,144],"meet":[52],"this":[53,58,83],"generality":[55],"demand.":[56],"Under":[57],"metric-based":[59],"meta-learning":[60],"method,":[61],"can":[64],"quickly":[65],"adapt":[66],"unknown":[68],"environments":[69],"by":[70],"several":[73],"samples.":[74],"In":[75,126],"order":[76],"verify":[78],"its":[79],"effectiveness,":[80],"use":[82],"train":[86],"model":[88],"deploy":[90],"it":[91],"robot":[95,115],"run":[97],"multiple":[98],"recognition":[101],"tests":[102],"real-world":[105],"environment.":[106],"The":[107],"results":[108],"experiments":[110],"performed":[111],"on":[112],"illustrates":[117],"good":[119],"performance":[120],"verifies":[122],"our":[123],"proposed":[124,143],"strategy.":[125],"addition":[127],"analyzing":[129],"experimental":[131],"results,":[132],"advantages,":[134],"disadvantages":[135],"as":[136,138,145],"well":[137],"potential":[140],"decision":[147],"aid":[148],"also":[150],"discussed.":[151]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}