{"id":"https://openalex.org/W4395057289","doi":"https://doi.org/10.1145/3638884.3638912","title":"Embodied Visual Navigation for Grasping","display_name":"Embodied Visual Navigation for Grasping","publication_year":2023,"publication_date":"2023-12-14","ids":{"openalex":"https://openalex.org/W4395057289","doi":"https://doi.org/10.1145/3638884.3638912"},"language":"en","primary_location":{"id":"doi:10.1145/3638884.3638912","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3638884.3638912","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 9th International Conference on Communication and Information Processing","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/A5103187674","display_name":"Xingchen Wang","orcid":"https://orcid.org/0009-0002-7423-6676"},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xingchen Wang","raw_affiliation_strings":["College of Computer Science, Chongqing University, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science, Chongqing University, China","institution_ids":["https://openalex.org/I158842170"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030190829","display_name":"Yan Ding","orcid":"https://orcid.org/0000-0002-7949-4351"},"institutions":[{"id":"https://openalex.org/I123946342","display_name":"Binghamton University","ror":"https://ror.org/008rmbt77","country_code":"US","type":"education","lineage":["https://openalex.org/I123946342"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yan Ding","raw_affiliation_strings":["Department of Computer Science, The State University of New York at Binghamton, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, The State University of New York at Binghamton, USA","institution_ids":["https://openalex.org/I123946342"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5095877915","display_name":"Beichen Shao","orcid":"https://orcid.org/0009-0008-1514-6113"},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Beichen Shao","raw_affiliation_strings":["College of Computer Science, Chongqing University, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science, Chongqing University, China","institution_ids":["https://openalex.org/I158842170"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031155898","display_name":"Fei Meng","orcid":"https://orcid.org/0009-0009-8078-8435"},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fei Meng","raw_affiliation_strings":["College of Computer Science, Chongqing University, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science, Chongqing University, China","institution_ids":["https://openalex.org/I158842170"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100408399","display_name":"Chao Chen","orcid":"https://orcid.org/0000-0003-2094-9734"},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chao Chen","raw_affiliation_strings":["College of Computer Science, Chongqing University, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science, Chongqing University, China","institution_ids":["https://openalex.org/I158842170"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5103187674"],"corresponding_institution_ids":["https://openalex.org/I158842170"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.28068681,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"194","last_page":"198"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10653","display_name":"Robot Manipulation and Learning","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T10653","display_name":"Robot Manipulation and Learning","score":0.9998000264167786,"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"}},{"id":"https://openalex.org/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9975000023841858,"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/T10879","display_name":"Robotic Locomotion and Control","score":0.9952999949455261,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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":0.7482342720031738},{"id":"https://openalex.org/keywords/embodied-cognition","display_name":"Embodied cognition","score":0.7401694059371948},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7350375056266785},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.7233470678329468},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.5968719720840454},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5912370085716248},{"id":"https://openalex.org/keywords/mobile-robot-navigation","display_name":"Mobile robot navigation","score":0.45097842812538147},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.433333158493042},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.4287374019622803},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.4199994206428528},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.4159475266933441},{"id":"https://openalex.org/keywords/mobile-robot","display_name":"Mobile robot","score":0.3388943672180176},{"id":"https://openalex.org/keywords/robot-control","display_name":"Robot control","score":0.2184123694896698}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7482342720031738},{"id":"https://openalex.org/C100609095","wikidata":"https://www.wikidata.org/wiki/Q1335050","display_name":"Embodied cognition","level":2,"score":0.7401694059371948},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7350375056266785},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.7233470678329468},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.5968719720840454},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5912370085716248},{"id":"https://openalex.org/C26990112","wikidata":"https://www.wikidata.org/wiki/Q6887224","display_name":"Mobile robot navigation","level":5,"score":0.45097842812538147},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.433333158493042},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.4287374019622803},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4199994206428528},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.4159475266933441},{"id":"https://openalex.org/C19966478","wikidata":"https://www.wikidata.org/wiki/Q4810574","display_name":"Mobile robot","level":3,"score":0.3388943672180176},{"id":"https://openalex.org/C65401140","wikidata":"https://www.wikidata.org/wiki/Q7353385","display_name":"Robot control","level":4,"score":0.2184123694896698},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3638884.3638912","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3638884.3638912","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 9th International Conference on Communication and Information Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G8469807804","display_name":null,"funder_award_id":"62322601","funder_id":"https://openalex.org/F4320323817","funder_display_name":"Universitas Brawijaya"}],"funders":[{"id":"https://openalex.org/F4320323817","display_name":"Universitas Brawijaya","ror":"https://ror.org/01wk3d929"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W2962887844","https://openalex.org/W2963800628","https://openalex.org/W3034226296","https://openalex.org/W3105064013","https://openalex.org/W3158253560","https://openalex.org/W3185444974","https://openalex.org/W3188067267","https://openalex.org/W4234552385","https://openalex.org/W4247924304","https://openalex.org/W4382362889"],"related_works":["https://openalex.org/W2093507260","https://openalex.org/W2562628082","https://openalex.org/W2378318959","https://openalex.org/W2083994890","https://openalex.org/W2369541203","https://openalex.org/W2360994936","https://openalex.org/W3081536868","https://openalex.org/W2523265608","https://openalex.org/W2122735287","https://openalex.org/W2324656256"],"abstract_inverted_index":{"This":[0,145],"paper":[1],"presents":[2],"a":[3,27,108,130,135],"novel":[4],"approach":[5,64,104],"to":[6,21,29,41,60,77,88,92,149],"robotic":[7,153],"grasping":[8,52,137,154],"by":[9,155,165],"integrating":[10,156],"embodied":[11,157],"visual":[12,98,158],"navigation":[13,50,95,159],"with":[14,118],"reinforcement":[15,86,162],"learning.":[16],"The":[17,35,100,123],"primary":[18],"objective":[19],"is":[20,40,105],"determine":[22],"the":[23,43,47,79,90,150],"optimal":[24,94],"location":[25],"for":[26,31,37],"robot":[28,91],"stand":[30],"successful":[32],"object":[33],"grasping.":[34],"motivation":[36],"this":[38,103],"research":[39],"address":[42],"existing":[44],"gap":[45],"in":[46,113,139],"literature":[48],"where":[49],"and":[51,74,115,134,160,164],"are":[53],"often":[54],"treated":[55],"as":[56],"separate":[57],"problems,":[58],"leading":[59],"suboptimal":[61],"performance.":[62],"Our":[63],"leverages":[65],"multimodal":[66],"sensory":[67],"data,":[68],"including":[69],"RGB":[70],"images,":[71,73],"depth":[72],"semantic":[75],"information,":[76],"guide":[78],"robot\u2019s":[80],"navigation.":[81],"It":[82],"also":[83],"utilizes":[84],"deep":[85,161],"learning":[87],"enable":[89],"learn":[93],"strategies":[96],"from":[97],"input.":[99],"effectiveness":[101,168],"of":[102,110,121,152],"demonstrated":[106],"through":[107,169],"series":[109],"experiments":[111],"conducted":[112],"simple":[114],"complex":[116],"scenes":[117],"varying":[119],"numbers":[120],"obstacles.":[122],"results":[124],"show":[125],"that":[126],"our":[127],"method":[128],"achieves":[129],"high":[131],"success":[132],"rate":[133],"fast":[136],"speed":[138],"different":[140],"scenarios,":[141],"outperforming":[142],"other":[143],"methods.":[144],"work":[146],"contributes":[147],"significantly":[148],"field":[151],"learning,":[163],"demonstrating":[166],"its":[167],"rigorous":[170],"experiments.":[171]},"counts_by_year":[],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}
