{"id":"https://openalex.org/W2140447321","doi":"https://doi.org/10.1109/fuzzy.2010.5584168","title":"ANFIS generated dynamic path planning for a mobile robot to track a randomly moving target in a 3-D space with obstacle avoidance","display_name":"ANFIS generated dynamic path planning for a mobile robot to track a randomly moving target in a 3-D space with obstacle avoidance","publication_year":2010,"publication_date":"2010-07-01","ids":{"openalex":"https://openalex.org/W2140447321","doi":"https://doi.org/10.1109/fuzzy.2010.5584168","mag":"2140447321"},"language":"en","primary_location":{"id":"doi:10.1109/fuzzy.2010.5584168","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzzy.2010.5584168","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Conference on Fuzzy Systems","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/A5111878487","display_name":"Peng-Yung Woo","orcid":null},"institutions":[{"id":"https://openalex.org/I102502594","display_name":"Northern Illinois University","ror":"https://ror.org/012wxa772","country_code":"US","type":"education","lineage":["https://openalex.org/I102502594"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Peng-Yung Woo","raw_affiliation_strings":["Department of Electrical Engineering, Northern Illinois University, Dekalb, IL, USA","Department of Electrical Engineering, Northern Illinois University, DeKalb, IL, 60115, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Northern Illinois University, Dekalb, IL, USA","institution_ids":["https://openalex.org/I102502594"]},{"raw_affiliation_string":"Department of Electrical Engineering, Northern Illinois University, DeKalb, IL, 60115, USA","institution_ids":["https://openalex.org/I102502594"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064970964","display_name":"Vamsi Polisetty","orcid":null},"institutions":[{"id":"https://openalex.org/I102502594","display_name":"Northern Illinois University","ror":"https://ror.org/012wxa772","country_code":"US","type":"education","lineage":["https://openalex.org/I102502594"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Vamsi Polisetty","raw_affiliation_strings":["Department of Electrical Engineering, Northern Illinois University, Dekalb, IL, USA","Department of Electrical Engineering, Northern Illinois University, DeKalb, IL, 60115, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Northern Illinois University, Dekalb, IL, USA","institution_ids":["https://openalex.org/I102502594"]},{"raw_affiliation_string":"Department of Electrical Engineering, Northern Illinois University, DeKalb, IL, 60115, USA","institution_ids":["https://openalex.org/I102502594"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5111878487"],"corresponding_institution_ids":["https://openalex.org/I102502594"],"apc_list":null,"apc_paid":null,"fwci":0.3187,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.63011699,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"1","issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10586","display_name":"Robotic Path Planning Algorithms","score":0.9998999834060669,"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":0.9998999834060669,"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/T11615","display_name":"Control and Dynamics of Mobile Robots","score":0.9945999979972839,"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"}},{"id":"https://openalex.org/T10249","display_name":"Distributed Control Multi-Agent Systems","score":0.9851999878883362,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/obstacle-avoidance","display_name":"Obstacle avoidance","score":0.8052500486373901},{"id":"https://openalex.org/keywords/mobile-robot","display_name":"Mobile robot","score":0.7668972015380859},{"id":"https://openalex.org/keywords/motion-planning","display_name":"Motion planning","score":0.7015339732170105},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6910243034362793},{"id":"https://openalex.org/keywords/obstacle","display_name":"Obstacle","score":0.6392602920532227},{"id":"https://openalex.org/keywords/adaptive-neuro-fuzzy-inference-system","display_name":"Adaptive neuro fuzzy inference system","score":0.6017404794692993},{"id":"https://openalex.org/keywords/track","display_name":"Track (disk drive)","score":0.5858038663864136},{"id":"https://openalex.org/keywords/path","display_name":"Path (computing)","score":0.5818674564361572},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.5323408246040344},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.5267942547798157},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4804372489452362},{"id":"https://openalex.org/keywords/collision-avoidance","display_name":"Collision avoidance","score":0.4265982508659363},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.4226047098636627},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.40946200489997864},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3508756756782532},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.29903560876846313},{"id":"https://openalex.org/keywords/fuzzy-control-system","display_name":"Fuzzy control system","score":0.2541651427745819},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12676182389259338},{"id":"https://openalex.org/keywords/collision","display_name":"Collision","score":0.11850512027740479}],"concepts":[{"id":"https://openalex.org/C6683253","wikidata":"https://www.wikidata.org/wiki/Q7075535","display_name":"Obstacle avoidance","level":4,"score":0.8052500486373901},{"id":"https://openalex.org/C19966478","wikidata":"https://www.wikidata.org/wiki/Q4810574","display_name":"Mobile robot","level":3,"score":0.7668972015380859},{"id":"https://openalex.org/C81074085","wikidata":"https://www.wikidata.org/wiki/Q366872","display_name":"Motion planning","level":3,"score":0.7015339732170105},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6910243034362793},{"id":"https://openalex.org/C2776650193","wikidata":"https://www.wikidata.org/wiki/Q264661","display_name":"Obstacle","level":2,"score":0.6392602920532227},{"id":"https://openalex.org/C186108316","wikidata":"https://www.wikidata.org/wiki/Q352530","display_name":"Adaptive neuro fuzzy inference system","level":4,"score":0.6017404794692993},{"id":"https://openalex.org/C89992363","wikidata":"https://www.wikidata.org/wiki/Q5961558","display_name":"Track (disk drive)","level":2,"score":0.5858038663864136},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.5818674564361572},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.5323408246040344},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.5267942547798157},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4804372489452362},{"id":"https://openalex.org/C2780864053","wikidata":"https://www.wikidata.org/wiki/Q5147495","display_name":"Collision avoidance","level":3,"score":0.4265982508659363},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.4226047098636627},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.40946200489997864},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3508756756782532},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.29903560876846313},{"id":"https://openalex.org/C195975749","wikidata":"https://www.wikidata.org/wiki/Q1475705","display_name":"Fuzzy control system","level":3,"score":0.2541651427745819},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12676182389259338},{"id":"https://openalex.org/C121704057","wikidata":"https://www.wikidata.org/wiki/Q352070","display_name":"Collision","level":2,"score":0.11850512027740479},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","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},{"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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"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/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/fuzzy.2010.5584168","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzzy.2010.5584168","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Conference on Fuzzy Systems","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":0.7099999785423279}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1570834090","https://openalex.org/W2019207321","https://openalex.org/W2046738003","https://openalex.org/W2062706881","https://openalex.org/W2102265406","https://openalex.org/W2103120971","https://openalex.org/W2104332709","https://openalex.org/W2107956696","https://openalex.org/W2113286054","https://openalex.org/W2116423661","https://openalex.org/W2131444840","https://openalex.org/W2136947569","https://openalex.org/W2137313981","https://openalex.org/W2138964046","https://openalex.org/W2140580886","https://openalex.org/W2146089494","https://openalex.org/W2147677349","https://openalex.org/W2164561380","https://openalex.org/W2167935381","https://openalex.org/W2259289169"],"related_works":["https://openalex.org/W2930076404","https://openalex.org/W4253519380","https://openalex.org/W2071957557","https://openalex.org/W2596413128","https://openalex.org/W2356867392","https://openalex.org/W2913749762","https://openalex.org/W2321940404","https://openalex.org/W3043170174","https://openalex.org/W2782776446","https://openalex.org/W2155948905"],"abstract_inverted_index":{"This":[0,63],"article":[1],"addresses":[2],"the":[3,27,44,47,56,60,88,91],"dynamic":[4,28,57],"path":[5,29,58],"planning":[6],"for":[7],"mobile":[8,61],"robots":[9],"in":[10,30],"a":[11,31],"3-D":[12,32],"space":[13,33],"with":[14,43],"obstacle":[15],"avoidance":[16],"and":[17,69,80],"moving":[18,83],"target":[19],"tracking.":[20],"A":[21],"new":[22],"mathematical":[23,48],"approach":[24,64],"to":[25,53,77,81],"calculating":[26],"is":[34,50],"proposed.":[35],"An":[36],"adaptive":[37],"network-based":[38],"fuzzy":[39],"inference":[40],"system":[41],"(ANFIS)":[42],"use":[45],"of":[46,59,90],"results":[49,86],"then":[51],"implemented":[52],"generate":[54],"automatically":[55],"robot.":[62],"allows":[65],"implementing":[66],"faster":[67],"decision-making":[68],"can":[70],"be":[71],"seen":[72],"as":[73],"an":[74],"efficient":[75],"algorithm":[76],"avoid":[78],"obstacles":[79],"track":[82],"targets.":[84],"Simulation":[85],"validate":[87],"performance":[89],"proposed":[92],"scheme.":[93]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}