{"id":"https://openalex.org/W4405937710","doi":"https://doi.org/10.1109/la-cci62337.2024.10814730","title":"Visual Object Affordances using Geometric Characteristics for Early Risk Detection","display_name":"Visual Object Affordances using Geometric Characteristics for Early Risk Detection","publication_year":2024,"publication_date":"2024-11-13","ids":{"openalex":"https://openalex.org/W4405937710","doi":"https://doi.org/10.1109/la-cci62337.2024.10814730"},"language":"en","primary_location":{"id":"doi:10.1109/la-cci62337.2024.10814730","is_oa":false,"landing_page_url":"https://doi.org/10.1109/la-cci62337.2024.10814730","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE Latin American Conference on Computational Intelligence (LA-CCI)","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/A5115720611","display_name":"Diego Ordenes","orcid":null},"institutions":[{"id":"https://openalex.org/I4210156023","display_name":"Universidad Central de Chile","ror":"https://ror.org/0577avk88","country_code":"CL","type":"education","lineage":["https://openalex.org/I4210156023"]}],"countries":["CL"],"is_corresponding":true,"raw_author_name":"Diego Ordenes","raw_affiliation_strings":["Universidad Central de Chile,Escuela de Ingeniería,Santiago,Chile"],"affiliations":[{"raw_affiliation_string":"Universidad Central de Chile,Escuela de Ingeniería,Santiago,Chile","institution_ids":["https://openalex.org/I4210156023"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084635828","display_name":"Francisco Cruz","orcid":"https://orcid.org/0000-0002-3160-7054"},"institutions":[{"id":"https://openalex.org/I4210156023","display_name":"Universidad Central de Chile","ror":"https://ror.org/0577avk88","country_code":"CL","type":"education","lineage":["https://openalex.org/I4210156023"]}],"countries":["CL"],"is_corresponding":false,"raw_author_name":"Francisco Cruz","raw_affiliation_strings":["Universidad Central de Chile,Escuela de Ingeniería,Santiago,Chile"],"affiliations":[{"raw_affiliation_string":"Universidad Central de Chile,Escuela de Ingeniería,Santiago,Chile","institution_ids":["https://openalex.org/I4210156023"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5115720611"],"corresponding_institution_ids":["https://openalex.org/I4210156023"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.37090517,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"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/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.47859999537467957,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.47859999537467957,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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/affordance","display_name":"Affordance","score":0.9326919317245483},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6928455829620361},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5767815113067627},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5061790347099304},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.504923403263092},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.4481304883956909},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.39785706996917725},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.18447265028953552}],"concepts":[{"id":"https://openalex.org/C194995250","wikidata":"https://www.wikidata.org/wiki/Q531136","display_name":"Affordance","level":2,"score":0.9326919317245483},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6928455829620361},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5767815113067627},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5061790347099304},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.504923403263092},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.4481304883956909},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.39785706996917725},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.18447265028953552}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/la-cci62337.2024.10814730","is_oa":false,"landing_page_url":"https://doi.org/10.1109/la-cci62337.2024.10814730","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE Latin American Conference on Computational Intelligence (LA-CCI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/13","display_name":"Climate action","score":0.47999998927116394}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W259799955","https://openalex.org/W2103212315","https://openalex.org/W2131686030","https://openalex.org/W2138554385","https://openalex.org/W2559960928","https://openalex.org/W2579318141","https://openalex.org/W2919115771","https://openalex.org/W7028438620","https://openalex.org/W7048590276"],"related_works":["https://openalex.org/W1972718289","https://openalex.org/W1791514435","https://openalex.org/W2346831895","https://openalex.org/W4386875132","https://openalex.org/W2470899375","https://openalex.org/W4390874827","https://openalex.org/W2417026147","https://openalex.org/W3089455568","https://openalex.org/W4292830139","https://openalex.org/W4319309705"],"abstract_inverted_index":{"Since":[0],"cohabitation":[1],"with":[2,106,145],"robots":[3],"is":[4,16,48,64,156],"transitioning":[5],"from":[6,174],"fiction":[7],"to":[8,26,82,96,115,158,164],"reality,":[9],"ensuring":[10],"their":[11],"safe":[12],"and":[13,112,132,142,167],"efficient":[14],"adoption":[15],"essential.":[17],"However,":[18],"a":[19,22,43,83,90],"robot":[20],"learning":[21],"new":[23,36],"task":[24],"needs":[25],"explore":[27],"the":[28,65,72,98,127,136,140,146,154,161,170],"environment,":[29],"meaning":[30],"that":[31,50,76,153],"in":[32,56],"certain":[33],"situations":[34],"potentially":[35],"unsafe":[37],"actions":[38],"might":[39],"be":[40],"attempted":[41],"by":[42,101],"robotic":[44,102,147],"agent.":[45,148],"Therefore,":[46],"it":[47,63],"imperative":[49],"they":[51],"can":[52],"anticipate":[53],"latent":[54],"dangers":[55],"object":[57,68,78,166],"usage.":[58],"A":[59],"plausible":[60],"approach":[61],"for":[62,74],"use":[66],"of":[67,129,138,172],"affordances.":[69],"Affordances":[70],"are":[71],"possibilities":[73],"action":[75],"an":[77,130],"or":[79,85,122],"environment":[80,141],"provides":[81],"person":[84],"animal.":[86],"This":[87],"paper":[88],"proposes":[89],"convolutional":[91],"neural":[92],"network-based":[93],"affordance":[94],"model":[95,155],"mitigate":[97],"risks":[99],"posed":[100],"agents":[103],"when":[104],"interacting":[105,144],"objects.":[107,176],"The":[108,124,149],"method":[109],"uses":[110],"geometric":[111],"3D":[113],"features":[114],"identify":[116,159],"potential":[117],"hazards":[118,173],"such":[119],"as":[120],"cuts":[121],"impacts.":[123],"outcomes":[125],"encompass":[126],"design":[128],"architecture":[131],"focus":[133],"on":[134],"enhancing":[135],"safety":[137],"both":[139],"those":[143],"results":[150],"obtained":[151],"show":[152],"able":[157],"efficiently":[160],"risk":[162],"related":[163],"each":[165],"even":[168],"recognize":[169],"kind":[171],"unknown":[175]},"counts_by_year":[],"updated_date":"2025-12-27T23:08:20.325037","created_date":"2025-10-10T00:00:00"}