{"id":"https://openalex.org/W2977466584","doi":"https://doi.org/10.1109/ijcnn.2019.8851896","title":"Retina-inspired Visual Module for Robot Navigation in Complex Environments","display_name":"Retina-inspired Visual Module for Robot Navigation in Complex Environments","publication_year":2019,"publication_date":"2019-07-01","ids":{"openalex":"https://openalex.org/W2977466584","doi":"https://doi.org/10.1109/ijcnn.2019.8851896","mag":"2977466584"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2019.8851896","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2019.8851896","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 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/A5009824729","display_name":"Hans Lehnert","orcid":"https://orcid.org/0000-0001-7486-8273"},"institutions":[{"id":"https://openalex.org/I75778554","display_name":"Federico Santa Mar\u00eda Technical University","ror":"https://ror.org/05510vn56","country_code":"CL","type":"education","lineage":["https://openalex.org/I75778554"]}],"countries":["CL"],"is_corresponding":true,"raw_author_name":"Hans Lehnert","raw_affiliation_strings":["Department of Electronic Engineering, Universidad T\u00e9cnica Federico Santa Mar\u00eda, Valpara\u00edso, Chile"],"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Universidad T\u00e9cnica Federico Santa Mar\u00eda, Valpara\u00edso, Chile","institution_ids":["https://openalex.org/I75778554"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048786840","display_name":"Mar\u00eda-Jos\u00e9 Escobar","orcid":"https://orcid.org/0000-0003-1563-624X"},"institutions":[{"id":"https://openalex.org/I75778554","display_name":"Federico Santa Mar\u00eda Technical University","ror":"https://ror.org/05510vn56","country_code":"CL","type":"education","lineage":["https://openalex.org/I75778554"]}],"countries":["CL"],"is_corresponding":false,"raw_author_name":"Maria-Jose Escobar","raw_affiliation_strings":["Department of Electronic Engineering, Universidad T\u00e9cnica Federico Santa Mar\u00eda, Valpara\u00edso, Chile"],"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Universidad T\u00e9cnica Federico Santa Mar\u00eda, Valpara\u00edso, Chile","institution_ids":["https://openalex.org/I75778554"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5079283943","display_name":"Mauricio Araya","orcid":"https://orcid.org/0000-0003-3472-4130"},"institutions":[{"id":"https://openalex.org/I75778554","display_name":"Federico Santa Mar\u00eda Technical University","ror":"https://ror.org/05510vn56","country_code":"CL","type":"education","lineage":["https://openalex.org/I75778554"]}],"countries":["CL"],"is_corresponding":false,"raw_author_name":"Mauricio Araya","raw_affiliation_strings":["Department of Electronic Engineering, Universidad T\u00e9cnica Federico Santa Mar\u00eda, Valpara\u00edso, Chile"],"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Universidad T\u00e9cnica Federico Santa Mar\u00eda, Valpara\u00edso, Chile","institution_ids":["https://openalex.org/I75778554"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5009824729"],"corresponding_institution_ids":["https://openalex.org/I75778554"],"apc_list":null,"apc_paid":null,"fwci":0.2432,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.54432462,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":"2","issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10581","display_name":"Neural dynamics and brain function","score":0.9969000220298767,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T10581","display_name":"Neural dynamics and brain function","score":0.9969000220298767,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11992","display_name":"CCD and CMOS Imaging Sensors","score":0.9966999888420105,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9940999746322632,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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":0.7659505009651184},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6123180389404297},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.6054867506027222},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5686272978782654},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.530014157295227},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4540577232837677},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.43738508224487305}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7659505009651184},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6123180389404297},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.6054867506027222},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5686272978782654},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.530014157295227},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4540577232837677},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.43738508224487305}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn.2019.8851896","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2019.8851896","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 International Joint Conference on Neural Networks (IJCNN)","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":44,"referenced_works":["https://openalex.org/W65235225","https://openalex.org/W1980516134","https://openalex.org/W2012587148","https://openalex.org/W2042934568","https://openalex.org/W2045871212","https://openalex.org/W2098702533","https://openalex.org/W2099616257","https://openalex.org/W2121717812","https://openalex.org/W2121863487","https://openalex.org/W2127388521","https://openalex.org/W2131600418","https://openalex.org/W2145339207","https://openalex.org/W2146881474","https://openalex.org/W2149208048","https://openalex.org/W2155007355","https://openalex.org/W2174781702","https://openalex.org/W2412480261","https://openalex.org/W2523246573","https://openalex.org/W2551887912","https://openalex.org/W2566089760","https://openalex.org/W2567015638","https://openalex.org/W2582049971","https://openalex.org/W2620671107","https://openalex.org/W2751973545","https://openalex.org/W2787259794","https://openalex.org/W2800142021","https://openalex.org/W2903374662","https://openalex.org/W2950872548","https://openalex.org/W2963523627","https://openalex.org/W2964043796","https://openalex.org/W2964161785","https://openalex.org/W3100789280","https://openalex.org/W4205326910","https://openalex.org/W4205513846","https://openalex.org/W4214717370","https://openalex.org/W4297795161","https://openalex.org/W6634528131","https://openalex.org/W6682849425","https://openalex.org/W6692846177","https://openalex.org/W6727249380","https://openalex.org/W6729556111","https://openalex.org/W6731234973","https://openalex.org/W6731334075","https://openalex.org/W6738741286"],"related_works":["https://openalex.org/W4306904969","https://openalex.org/W2138720691","https://openalex.org/W4362501864","https://openalex.org/W4380318855","https://openalex.org/W2031695474","https://openalex.org/W3084456289","https://openalex.org/W4293226380","https://openalex.org/W2024136090","https://openalex.org/W4391331176","https://openalex.org/W2586732548"],"abstract_inverted_index":{"Reinforcement":[0],"learning":[1,59,140],"(RL)":[2],"has":[3,84],"been":[4,85],"widely":[5],"used":[6,36],"to":[7,18,73,87,132],"implement":[8],"autonomous":[9,38],"navigation":[10],"in":[11,37,81,118,142],"artificial":[12,182],"agents,":[13],"where":[14,53],"the":[15,24,29,33,43,54,68,77,107,111,119,134,139,143,149,155,175],"goal":[16],"is":[17],"learn":[19],"a":[20,92,98,102],"behaviour":[21],"which":[22,64],"maximizes":[23],"reward,":[25],"through":[26],"interaction":[27],"with":[28],"environment.":[30],"Most":[31],"of":[32,71,104,106,116,148,174,177],"recent":[34],"architectures":[35],"agents":[39],"obtain":[40],"information":[41],"from":[42,58],"environment":[44,158],"using":[45,154],"visual":[46,55,108,120],"modules":[47],"implemented":[48],"by":[49,76],"convolutional":[50,135],"neural":[51,136],"networks,":[52],"features":[56],"resulting":[57],"are":[60],"unknown":[61],"or":[62],"uncertain,":[63],"impose":[65],"limitations":[66],"considering":[67],"large":[69],"number":[70],"parameters":[72],"be":[74],"learned":[75],"entire":[78],"system.":[79,121],"Research":[80],"retina":[82,129],"physiology":[83,130],"able":[86],"characterize":[88],"it":[89],"not":[90],"as":[91,97],"single":[93],"light-electrical":[94],"transductor":[95],"but":[96],"complex":[99],"device":[100],"performing":[101],"variety":[103],"computations":[105],"information,":[109],"preparing":[110],"data":[112],"for":[113],"further":[114],"stages":[115],"processing":[117],"We":[122],"propose":[123],"an":[124,160],"RL":[125],"architecture":[126,151],"that":[127],"uses":[128],"knowledge":[131],"fed":[133],"network,":[137],"avoiding":[138],"stage":[141],"sensory":[144],"input.":[145],"The":[146,168],"performance":[147],"proposed":[150],"was":[152],"evaluated":[153],"DeepMind":[156],"Lab":[157],"simulating":[159],"agent":[161],"moving":[162],"inside":[163,181],"two":[164],"different":[165],"maze":[166],"scenarios.":[167],"results":[169],"obtained":[170],"reveal":[171],"promising":[172],"extension":[173],"inclusion":[176],"biological-":[178],"plausible":[179],"mechanisms":[180],"intelligence":[183],"applications.":[184]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
