{"id":"https://openalex.org/W3216647499","doi":"https://doi.org/10.1109/rose52750.2021.9611755","title":"Lobster detection using an Embedded 2D Vision System with a FANUC industrual robot","display_name":"Lobster detection using an Embedded 2D Vision System with a FANUC industrual robot","publication_year":2021,"publication_date":"2021-10-28","ids":{"openalex":"https://openalex.org/W3216647499","doi":"https://doi.org/10.1109/rose52750.2021.9611755","mag":"3216647499"},"language":"en","primary_location":{"id":"doi:10.1109/rose52750.2021.9611755","is_oa":false,"landing_page_url":"https://doi.org/10.1109/rose52750.2021.9611755","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Symposium on Robotic and Sensors Environments (ROSE)","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/A5002297173","display_name":"Nawal Chelouati","orcid":null},"institutions":[{"id":"https://openalex.org/I154799132","display_name":"Universit\u00e9 de Moncton","ror":"https://ror.org/029tnqt29","country_code":"CA","type":"education","lineage":["https://openalex.org/I154799132"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Nawal Chelouati","raw_affiliation_strings":["Robotics, Electronics & Industry 4.0 Lab. Universite de Moncton, Moncton, NB, Canada"],"affiliations":[{"raw_affiliation_string":"Robotics, Electronics & Industry 4.0 Lab. Universite de Moncton, Moncton, NB, Canada","institution_ids":["https://openalex.org/I154799132"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025947190","display_name":"Fakhereddine Fares","orcid":null},"institutions":[{"id":"https://openalex.org/I154799132","display_name":"Universit\u00e9 de Moncton","ror":"https://ror.org/029tnqt29","country_code":"CA","type":"education","lineage":["https://openalex.org/I154799132"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Fakhereddine Fares","raw_affiliation_strings":["Robotics, Electronics & Industry 4.0 Lab. Universite de Moncton, Moncton, NB, Canada"],"affiliations":[{"raw_affiliation_string":"Robotics, Electronics & Industry 4.0 Lab. Universite de Moncton, Moncton, NB, Canada","institution_ids":["https://openalex.org/I154799132"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023218113","display_name":"Yassine Bouslimani","orcid":"https://orcid.org/0000-0003-2894-5113"},"institutions":[{"id":"https://openalex.org/I154799132","display_name":"Universit\u00e9 de Moncton","ror":"https://ror.org/029tnqt29","country_code":"CA","type":"education","lineage":["https://openalex.org/I154799132"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Yassine Bouslimani","raw_affiliation_strings":["Robotics, Electronics & Industry 4.0 Lab. Universite de Moncton, Moncton, NB, Canada"],"affiliations":[{"raw_affiliation_string":"Robotics, Electronics & Industry 4.0 Lab. Universite de Moncton, Moncton, NB, Canada","institution_ids":["https://openalex.org/I154799132"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110980404","display_name":"Mohsen Ghribi","orcid":"https://orcid.org/0000-0003-2690-9995"},"institutions":[{"id":"https://openalex.org/I154799132","display_name":"Universit\u00e9 de Moncton","ror":"https://ror.org/029tnqt29","country_code":"CA","type":"education","lineage":["https://openalex.org/I154799132"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Mohsen Ghribi","raw_affiliation_strings":["Robotics, Electronics & Industry 4.0 Lab. Universite de Moncton, Moncton, NB, Canada"],"affiliations":[{"raw_affiliation_string":"Robotics, Electronics & Industry 4.0 Lab. Universite de Moncton, Moncton, NB, Canada","institution_ids":["https://openalex.org/I154799132"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5002297173"],"corresponding_institution_ids":["https://openalex.org/I154799132"],"apc_list":null,"apc_paid":null,"fwci":1.7508,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.8615879,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10616","display_name":"Smart Agriculture and AI","score":0.9674000144004822,"subfield":{"id":"https://openalex.org/subfields/1110","display_name":"Plant Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T10616","display_name":"Smart Agriculture and AI","score":0.9674000144004822,"subfield":{"id":"https://openalex.org/subfields/1110","display_name":"Plant Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9639000296592712,"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/T12697","display_name":"Water Quality Monitoring Technologies","score":0.9347000122070312,"subfield":{"id":"https://openalex.org/subfields/2312","display_name":"Water Science and Technology"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7505179643630981},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6530086994171143},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.6377118825912476},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6310116052627563},{"id":"https://openalex.org/keywords/machine-vision","display_name":"Machine vision","score":0.6036598682403564},{"id":"https://openalex.org/keywords/robotics","display_name":"Robotics","score":0.5749406814575195},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5518723130226135},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.5140045881271362},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.2727605700492859},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12822961807250977}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7505179643630981},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6530086994171143},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.6377118825912476},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6310116052627563},{"id":"https://openalex.org/C5339829","wikidata":"https://www.wikidata.org/wiki/Q1425977","display_name":"Machine vision","level":2,"score":0.6036598682403564},{"id":"https://openalex.org/C34413123","wikidata":"https://www.wikidata.org/wiki/Q170978","display_name":"Robotics","level":3,"score":0.5749406814575195},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5518723130226135},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.5140045881271362},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.2727605700492859},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12822961807250977},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/rose52750.2021.9611755","is_oa":false,"landing_page_url":"https://doi.org/10.1109/rose52750.2021.9611755","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Symposium on Robotic and Sensors Environments (ROSE)","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":20,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1536680647","https://openalex.org/W1861492603","https://openalex.org/W2570343428","https://openalex.org/W2755513326","https://openalex.org/W2797023298","https://openalex.org/W2903654797","https://openalex.org/W2920621226","https://openalex.org/W2963037989","https://openalex.org/W2969036029","https://openalex.org/W2971587923","https://openalex.org/W2974020870","https://openalex.org/W2989928569","https://openalex.org/W2997344004","https://openalex.org/W2999278897","https://openalex.org/W3003983420","https://openalex.org/W3018757597","https://openalex.org/W3042011474","https://openalex.org/W3096998908","https://openalex.org/W4293584584"],"related_works":["https://openalex.org/W1508899372","https://openalex.org/W2012658348","https://openalex.org/W2039460805","https://openalex.org/W4250956039","https://openalex.org/W4240485100","https://openalex.org/W4254970379","https://openalex.org/W2056130799","https://openalex.org/W2045758229","https://openalex.org/W405964254","https://openalex.org/W2297646692"],"abstract_inverted_index":{"In":[0],"this":[1,32,86],"paper,":[2],"two":[3],"vision-based":[4],"systems":[5],"approaches":[6],"are":[7,28,81],"studied":[8,82],"in":[9,34,64],"order":[10],"to":[11,21,50,132],"guide":[12],"the":[13,42,52,55,61,75,99,110,121,124,138,141,163,169,173,182,194],"FANUC":[14,62],"robot":[15,33,63],"arm":[16],"\u2018FANUC":[17],"LR":[18],"Mate":[19],"200iD/7L\u2019":[20],"locate":[22],"and":[23,37,74,83,107,154,178,187],"manipulate":[24],"lobsters.":[25],"Different":[26],"experiments":[27],"carried":[29],"out":[30],"using":[31,127],"Robotics,":[35],"Electronics":[36],"Industry":[38],"4.0":[39],"Laboratory":[40],"of":[41,54,60,92],"Universit\u00e9":[43],"de":[44],"Moncton.":[45],"The":[46,68,88],"first":[47],"approach":[48,90],"aims":[49],"test":[51],"ability":[53],"integrated":[56],"vision":[57,95,165],"system":[58,126,166],"iRvision":[59],"detecting":[65],"lobster":[66,134,146,175],"body.":[67],"Geometric":[69],"Pattern":[70],"Matching":[71,78],"(GPM)":[72],"Locator":[73,80,129,143],"Curved":[76],"Surface":[77],"(CSM)":[79],"tested":[84,108],"for":[85,159,181,190],"purpose.":[87],"second":[89,158,189],"consists":[91],"a":[93,150],"computer":[94],"solution":[96],"based":[97,167],"on":[98,109,120,168,193],"YOLOv4":[100,170],"object":[101],"detection":[102,153,191],"algorithm,":[103],"which":[104],"was":[105],"implemented":[106],"Nvidia":[111,195],"Jetson":[112],"NX":[113,198],"embedded":[114,164,199],"platform.":[115,200],"Experimental":[116],"results":[117],"showed":[118],"that,":[119],"one":[122],"hand,":[123,140],"iRVision":[125],"GPM":[128],"has":[130,144,155],"failed":[131],"detect":[133],"body":[135,147,176],"parts.":[136],"On":[137],"other":[139],"CSM":[142],"detected":[145,172],"parts":[148,177],"with":[149],"lower":[151],"score":[152],"exceeded":[156],"1":[157],"time":[160,192],"detection.":[161],"However,":[162],"model":[171],"main":[174,183],"achieved":[179],"99.29%":[180],"average":[184],"precision":[185],"(mAP)":[186],"0.1806":[188],"jetson":[196],"Xavier":[197]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
