{"id":"https://openalex.org/W2168684014","doi":"https://doi.org/10.1109/icsmc.2004.1398427","title":"An algorithm for automatically mapping an arbitrary 2D environment","display_name":"An algorithm for automatically mapping an arbitrary 2D environment","publication_year":2005,"publication_date":"2005-04-06","ids":{"openalex":"https://openalex.org/W2168684014","doi":"https://doi.org/10.1109/icsmc.2004.1398427","mag":"2168684014"},"language":"en","primary_location":{"id":"doi:10.1109/icsmc.2004.1398427","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsmc.2004.1398427","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2004 IEEE International Conference on Systems, Man and Cybernetics (IEEE Cat. No.04CH37583)","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/A5114031793","display_name":"Fabian Krueger","orcid":null},"institutions":[{"id":"https://openalex.org/I155173764","display_name":"Rochester Institute of Technology","ror":"https://ror.org/00v4yb702","country_code":"US","type":"education","lineage":["https://openalex.org/I155173764"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"F.A. Krueger","raw_affiliation_strings":["Electrical Engineering Department, Rochester Institute of Technology, Rochester, NY, USA"],"affiliations":[{"raw_affiliation_string":"Electrical Engineering Department, Rochester Institute of Technology, Rochester, NY, USA","institution_ids":["https://openalex.org/I155173764"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5114031793"],"corresponding_institution_ids":["https://openalex.org/I155173764"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.22239023,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"1","issue":null,"first_page":"958","last_page":"963"},"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/T12784","display_name":"Modular Robots and Swarm Intelligence","score":0.9970999956130981,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical 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":0.8033422827720642},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7254963517189026},{"id":"https://openalex.org/keywords/obstacle","display_name":"Obstacle","score":0.6796244382858276},{"id":"https://openalex.org/keywords/abstraction","display_name":"Abstraction","score":0.6121536493301392},{"id":"https://openalex.org/keywords/obstacle-avoidance","display_name":"Obstacle avoidance","score":0.5957365036010742},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5348687767982483},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.534814178943634},{"id":"https://openalex.org/keywords/mobile-robot","display_name":"Mobile robot","score":0.4942762851715088},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.4556148946285248},{"id":"https://openalex.org/keywords/path","display_name":"Path (computing)","score":0.44390973448753357},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.43389198184013367},{"id":"https://openalex.org/keywords/variety","display_name":"Variety (cybernetics)","score":0.4267137348651886},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4145243167877197},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09614837169647217}],"concepts":[{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.8033422827720642},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7254963517189026},{"id":"https://openalex.org/C2776650193","wikidata":"https://www.wikidata.org/wiki/Q264661","display_name":"Obstacle","level":2,"score":0.6796244382858276},{"id":"https://openalex.org/C124304363","wikidata":"https://www.wikidata.org/wiki/Q673661","display_name":"Abstraction","level":2,"score":0.6121536493301392},{"id":"https://openalex.org/C6683253","wikidata":"https://www.wikidata.org/wiki/Q7075535","display_name":"Obstacle avoidance","level":4,"score":0.5957365036010742},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5348687767982483},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.534814178943634},{"id":"https://openalex.org/C19966478","wikidata":"https://www.wikidata.org/wiki/Q4810574","display_name":"Mobile robot","level":3,"score":0.4942762851715088},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.4556148946285248},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.44390973448753357},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.43389198184013367},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.4267137348651886},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4145243167877197},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09614837169647217},{"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","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/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icsmc.2004.1398427","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsmc.2004.1398427","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2004 IEEE International Conference on Systems, Man and Cybernetics (IEEE Cat. No.04CH37583)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W1553483187","https://openalex.org/W2093488518","https://openalex.org/W2102624256","https://openalex.org/W2145803225","https://openalex.org/W2148916113","https://openalex.org/W2160410737"],"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/W2782776446","https://openalex.org/W3043170174","https://openalex.org/W2155948905","https://openalex.org/W2906946336","https://openalex.org/W2357323510"],"abstract_inverted_index":{"This":[0,96],"paper":[1,97],"presents":[2,33,107],"a":[3,8,16,27],"method":[4],"for":[5,37,88],"automatically":[6],"generating":[7],"2D":[9],"obstacle":[10,65],"map":[11,73],"of":[12,20,29,47,53,64,93],"an":[13,34],"environment":[14],"using":[15],"robot":[17,55,80],"or":[18],"team":[19],"robots.":[21,95],"The":[22,72],"algorithm":[23,60,100],"is":[24,74],"adaptable":[25],"to":[26,44,81,86],"variety":[28],"robotic":[30],"platforms":[31],"and":[32,61,69,85,105,110],"iterative":[35],"solution":[36],"determining":[38],"the":[39,45,51,58,62,91,94,99],"map.":[40],"Its":[41],"primary":[42],"contributions":[43],"field":[46],"autonomous":[48],"mapping":[49,59],"include":[50],"abstraction":[52],"specific":[54],"hardware":[56],"from":[57],"integration":[63],"avoidance,":[66],"path":[67],"finding,":[68],"destination":[70],"selection.":[71],"sampled":[75],"multiple":[76],"times":[77],"by":[78],"each":[79],"filter":[82],"anomalous":[83],"data":[84],"correct":[87],"inaccuracies":[89],"in":[90,101],"operation":[92],"details":[98,112],"its":[102],"purest":[103],"form":[104],"additionally":[106],"variant":[108],"design":[109],"implementation":[111]},"counts_by_year":[{"year":2015,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
