{"id":"https://openalex.org/W2591647058","doi":"https://doi.org/10.1145/3029798.3038368","title":"Reducing Operator Workload for Indoor Navigation of Autonomous Robots via Multimodal Sensor Fusion","display_name":"Reducing Operator Workload for Indoor Navigation of Autonomous Robots via Multimodal Sensor Fusion","publication_year":2017,"publication_date":"2017-03-06","ids":{"openalex":"https://openalex.org/W2591647058","doi":"https://doi.org/10.1145/3029798.3038368","mag":"2591647058"},"language":"en","primary_location":{"id":"doi:10.1145/3029798.3038368","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3029798.3038368","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Companion of the 2017 ACM/IEEE International Conference on Human-Robot Interaction","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/A5027474132","display_name":"Naman Patel","orcid":"https://orcid.org/0000-0001-8746-1376"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Naman Patel","raw_affiliation_strings":["NYU Tandon School of Engineeering, Brooklyn, NY, USA"],"affiliations":[{"raw_affiliation_string":"NYU Tandon School of Engineeering, Brooklyn, NY, USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054769060","display_name":"P. Krishnamurthy","orcid":"https://orcid.org/0000-0001-8264-7972"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Prashanth Krishnamurthy","raw_affiliation_strings":["NYU Tandon School of Engineering, Brooklyn, NY, USA"],"affiliations":[{"raw_affiliation_string":"NYU Tandon School of Engineering, Brooklyn, NY, USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083935587","display_name":"Yi Fang","orcid":"https://orcid.org/0000-0001-9427-3883"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yi Fang","raw_affiliation_strings":["NYU Tandon School of Engineering, Brooklyn, NY, USA"],"affiliations":[{"raw_affiliation_string":"NYU Tandon School of Engineering, Brooklyn, NY, USA","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082413942","display_name":"Farshad Khorrami","orcid":"https://orcid.org/0000-0002-8418-004X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Farshad Khorrami","raw_affiliation_strings":["NYU Tandon School of Engineering, Brooklyn, NY, USA"],"affiliations":[{"raw_affiliation_string":"NYU Tandon School of Engineering, Brooklyn, NY, USA","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5027474132"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.277,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.62309592,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"253","last_page":"254"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10586","display_name":"Robotic Path Planning Algorithms","score":0.9994999766349792,"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":0.9994999766349792,"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":0.9991999864578247,"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/T10653","display_name":"Robot Manipulation and Learning","score":0.9955000281333923,"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/computer-science","display_name":"Computer science","score":0.7038745880126953},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.6621085405349731},{"id":"https://openalex.org/keywords/workload","display_name":"Workload","score":0.5904494524002075},{"id":"https://openalex.org/keywords/operator","display_name":"Operator (biology)","score":0.5875869989395142},{"id":"https://openalex.org/keywords/obstacle-avoidance","display_name":"Obstacle avoidance","score":0.5661738514900208},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.5554271936416626},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5524340867996216},{"id":"https://openalex.org/keywords/obstacle","display_name":"Obstacle","score":0.49902868270874023},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4987757205963135},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.4795893728733063},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.46034789085388184},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4531744122505188},{"id":"https://openalex.org/keywords/lidar","display_name":"Lidar","score":0.4303470253944397},{"id":"https://openalex.org/keywords/architecture","display_name":"Architecture","score":0.42589646577835083},{"id":"https://openalex.org/keywords/mobile-robot","display_name":"Mobile robot","score":0.42363011837005615},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.3999379873275757}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7038745880126953},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.6621085405349731},{"id":"https://openalex.org/C2778476105","wikidata":"https://www.wikidata.org/wiki/Q628539","display_name":"Workload","level":2,"score":0.5904494524002075},{"id":"https://openalex.org/C17020691","wikidata":"https://www.wikidata.org/wiki/Q139677","display_name":"Operator (biology)","level":5,"score":0.5875869989395142},{"id":"https://openalex.org/C6683253","wikidata":"https://www.wikidata.org/wiki/Q7075535","display_name":"Obstacle avoidance","level":4,"score":0.5661738514900208},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.5554271936416626},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5524340867996216},{"id":"https://openalex.org/C2776650193","wikidata":"https://www.wikidata.org/wiki/Q264661","display_name":"Obstacle","level":2,"score":0.49902868270874023},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4987757205963135},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.4795893728733063},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.46034789085388184},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4531744122505188},{"id":"https://openalex.org/C51399673","wikidata":"https://www.wikidata.org/wiki/Q504027","display_name":"Lidar","level":2,"score":0.4303470253944397},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.42589646577835083},{"id":"https://openalex.org/C19966478","wikidata":"https://www.wikidata.org/wiki/Q4810574","display_name":"Mobile robot","level":3,"score":0.42363011837005615},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3999379873275757},{"id":"https://openalex.org/C158448853","wikidata":"https://www.wikidata.org/wiki/Q425218","display_name":"Repressor","level":4,"score":0.0},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"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/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C86339819","wikidata":"https://www.wikidata.org/wiki/Q407384","display_name":"Transcription factor","level":3,"score":0.0},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3029798.3038368","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3029798.3038368","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Companion of the 2017 ACM/IEEE International Conference on Human-Robot Interaction","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":4,"referenced_works":["https://openalex.org/W1565402342","https://openalex.org/W2034626455","https://openalex.org/W2342840547","https://openalex.org/W3106225689"],"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/W2782776446","https://openalex.org/W3043170174","https://openalex.org/W2155948905","https://openalex.org/W2357323510"],"abstract_inverted_index":{"We":[0,129],"present":[1],"a":[2,115],"novel":[3],"framework":[4,29,75,123,133],"for":[5,63],"operator":[6,24,36],"assistance":[7],"in":[8,95],"indoor":[9,71],"navigation":[10,81],"and":[11,56,58,82,102],"map":[12,83],"building":[13],"wherein":[14],"the":[15,23,31,34,38,60,64,97],"ground":[16,65],"vehicle":[17,66,112],"learns":[18,125],"to":[19,46,67,105,114,120,126],"navigate":[20,68],"by":[21,91],"imitating":[22],"commands":[25],"while":[26],"training.":[27],"Our":[28],"reduces":[30],"workload":[32],"on":[33,107],"human":[35,41,116],"simplifying":[37],"process":[39],"of":[40],"robot":[42,98],"interaction.":[43],"An":[44],"end":[45,47,119,121],"architecture":[48,86],"is":[49,87],"presented":[50,74],"which":[51,96],"takes":[52],"inputs":[53],"from":[54],"camera":[55],"LIDAR":[57],"outputs":[59],"steering":[61],"angle":[62],"through":[69],"an":[70,92],"environment.":[72],"The":[73,85,118],"includes":[76],"static":[77],"obstacle":[78],"avoidance":[79],"during":[80],"building.":[84],"made":[88],"more":[89],"reliable":[90],"on-line":[93],"mechanism":[94],"introspects":[99],"its":[100,108],"output":[101,109],"decides":[103],"whether":[104],"rely":[106],"or":[110],"transfer":[111],"control":[113],"pilot.":[117],"trained":[122],"implicitly":[124],"avoid":[127],"obstacles.":[128],"show":[130],"that":[131],"our":[132],"works":[134],"under":[135],"various":[136],"cases":[137],"where":[138],"other":[139],"frameworks":[140],"fail.":[141]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}