{"id":"https://openalex.org/W4403675767","doi":"https://doi.org/10.1109/icac61394.2024.10718793","title":"The Comprehensive Review of Vision-based Grasp Estimation and Challenges","display_name":"The Comprehensive Review of Vision-based Grasp Estimation and Challenges","publication_year":2024,"publication_date":"2024-08-28","ids":{"openalex":"https://openalex.org/W4403675767","doi":"https://doi.org/10.1109/icac61394.2024.10718793"},"language":"en","primary_location":{"id":"doi:10.1109/icac61394.2024.10718793","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icac61394.2024.10718793","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 29th International Conference on Automation and Computing (ICAC)","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/A5037591598","display_name":"Thanavin Mansakul","orcid":"https://orcid.org/0009-0009-5792-5120"},"institutions":[{"id":"https://openalex.org/I82284825","display_name":"Cranfield University","ror":"https://ror.org/05cncd958","country_code":"GB","type":"education","lineage":["https://openalex.org/I82284825"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Thanavin Mansakul","raw_affiliation_strings":["Cranfield University,Dept. School of Aerospace, Transport and Manufacturing,Cranfield,UK"],"affiliations":[{"raw_affiliation_string":"Cranfield University,Dept. School of Aerospace, Transport and Manufacturing,Cranfield,UK","institution_ids":["https://openalex.org/I82284825"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038063897","display_name":"Gilbert Tang","orcid":"https://orcid.org/0000-0002-5497-7269"},"institutions":[{"id":"https://openalex.org/I82284825","display_name":"Cranfield University","ror":"https://ror.org/05cncd958","country_code":"GB","type":"education","lineage":["https://openalex.org/I82284825"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Gilbert Tang","raw_affiliation_strings":["Cranfield University,Dept. School of Aerospace, Transport and Manufacturing,Cranfield,UK"],"affiliations":[{"raw_affiliation_string":"Cranfield University,Dept. School of Aerospace, Transport and Manufacturing,Cranfield,UK","institution_ids":["https://openalex.org/I82284825"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073792029","display_name":"Phil Webb","orcid":"https://orcid.org/0000-0002-5789-4207"},"institutions":[{"id":"https://openalex.org/I82284825","display_name":"Cranfield University","ror":"https://ror.org/05cncd958","country_code":"GB","type":"education","lineage":["https://openalex.org/I82284825"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Phil Webb","raw_affiliation_strings":["Cranfield University,Dept. School of Aerospace, Transport and Manufacturing,Cranfield,UK"],"affiliations":[{"raw_affiliation_string":"Cranfield University,Dept. School of Aerospace, Transport and Manufacturing,Cranfield,UK","institution_ids":["https://openalex.org/I82284825"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5037591598"],"corresponding_institution_ids":["https://openalex.org/I82284825"],"apc_list":null,"apc_paid":null,"fwci":0.2632,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.55341172,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9079999923706055,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9079999923706055,"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/T12859","display_name":"Cell Image Analysis Techniques","score":0.9071999788284302,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/grasp","display_name":"GRASP","score":0.8632065057754517},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.718613862991333},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.5676143169403076},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5500055551528931},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.49718382954597473},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.14227086305618286},{"id":"https://openalex.org/keywords/systems-engineering","display_name":"Systems engineering","score":0.07921639084815979},{"id":"https://openalex.org/keywords/software-engineering","display_name":"Software engineering","score":0.06621512770652771}],"concepts":[{"id":"https://openalex.org/C171268870","wikidata":"https://www.wikidata.org/wiki/Q1486676","display_name":"GRASP","level":2,"score":0.8632065057754517},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.718613862991333},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.5676143169403076},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5500055551528931},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.49718382954597473},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.14227086305618286},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.07921639084815979},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.06621512770652771}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icac61394.2024.10718793","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icac61394.2024.10718793","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 29th International Conference on Automation and Computing (ICAC)","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":29,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1861492603","https://openalex.org/W1999156278","https://openalex.org/W2193145675","https://openalex.org/W2739570149","https://openalex.org/W2824754393","https://openalex.org/W2888752296","https://openalex.org/W2927539098","https://openalex.org/W2963150697","https://openalex.org/W2963678509","https://openalex.org/W2964241181","https://openalex.org/W2980688553","https://openalex.org/W3035198432","https://openalex.org/W3056171435","https://openalex.org/W3130885760","https://openalex.org/W3179923621","https://openalex.org/W3186077919","https://openalex.org/W3200835003","https://openalex.org/W4214929556","https://openalex.org/W4298131478","https://openalex.org/W4310266187","https://openalex.org/W4362561002","https://openalex.org/W4382366145","https://openalex.org/W4385805054","https://openalex.org/W4402754006","https://openalex.org/W6762082143","https://openalex.org/W6790482221","https://openalex.org/W6811381196","https://openalex.org/W6868582632"],"related_works":["https://openalex.org/W2963326767","https://openalex.org/W2772917594","https://openalex.org/W2036807459","https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747"],"abstract_inverted_index":{"Robotic":[0],"grasping":[1],"has":[2,43],"emerged":[3],"as":[4,52,135],"a":[5,9,13,23,28,45,53,73,81],"fundamental":[6,95],"skill":[7],"and":[8,36,62,89,100,104,114,144,146,156],"vital":[10],"task":[11],"for":[12,80],"robotic":[14,160],"manipulator":[15,161],"in":[16,60,130,138,142,149,162],"various":[17],"sectors":[18],"over":[19],"recent":[20],"decades.":[21],"Although":[22],"preprogramming":[24],"method":[25],"is":[26],"now":[27],"general":[29],"application,":[30],"the":[31,108,131,159,163],"challenges":[32],"to":[33,56,122],"handling":[34],"complicated":[35],"unstructured":[37],"scenarios":[38],"remain.":[39],"Machine":[40],"vision,":[41],"therefore,":[42],"become":[44],"focus":[46],"of":[47,76,97,158],"interest":[48],"from":[49],"many":[50],"researchers":[51],"primary":[54],"perception":[55],"provide":[57],"flexible":[58],"manipulation":[59],"unknown":[61],"uncertain":[63],"environments":[64],"rather":[65],"than":[66],"control":[67],"working":[68],"space.":[69],"This":[70,116,151],"research":[71],"presents":[72],"comprehensive":[74],"review":[75],"vision-based":[77],"grasp":[78,98,124],"detection":[79,99,125],"parallel":[82],"gripper,":[83],"analyzing":[84],"potential":[85],"techniques,":[86],"existing":[87],"challenges,":[88],"future":[90],"directions.":[91],"It":[92],"delves":[93],"into":[94],"concepts":[96],"estimation,":[101],"including":[102],"traditional":[103],"learning-based":[105],"methods.":[106],"Additionally,":[107],"study":[109],"explores":[110],"essential":[111],"benchmark":[112],"datasets":[113],"metrics.":[115],"paper":[117],"not":[118],"only":[119],"offers":[120],"opportunities":[121],"develop":[123],"methodologies":[126],"but":[127],"also":[128],"applications":[129],"real":[132],"world,":[133],"such":[134],"fruit":[136],"picking":[137],"agriculture,":[139],"pick-and-pack":[140],"items":[141],"supermarkets":[143],"logistics,":[145],"pick-and-sort":[147],"objects":[148],"manufacturing.":[150],"will":[152],"enable":[153],"substantial":[154],"changes":[155],"impacts":[157],"modern":[164],"world.":[165]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-12-27T23:08:20.325037","created_date":"2025-10-10T00:00:00"}