{"id":"https://openalex.org/W7124950400","doi":"https://doi.org/10.1109/lra.2026.3655273","title":"Linking Visual Quality to Task Performance in Surgical Robotics","display_name":"Linking Visual Quality to Task Performance in Surgical Robotics","publication_year":2026,"publication_date":"2026-01-19","ids":{"openalex":"https://openalex.org/W7124950400","doi":"https://doi.org/10.1109/lra.2026.3655273"},"language":null,"primary_location":{"id":"doi:10.1109/lra.2026.3655273","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lra.2026.3655273","pdf_url":null,"source":{"id":"https://openalex.org/S4210169774","display_name":"IEEE Robotics and Automation Letters","issn_l":"2377-3766","issn":["2377-3766"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Robotics and Automation Letters","raw_type":"journal-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":null,"display_name":"Feng Wang","orcid":"https://orcid.org/0000-0002-0516-1618"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Feng Wang","raw_affiliation_strings":["Institute of Medical Robotics and Intelligent Systems, Tianjin University, Tianjin, China"],"raw_orcid":"https://orcid.org/0000-0002-0516-1618","affiliations":[{"raw_affiliation_string":"Institute of Medical Robotics and Intelligent Systems, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014747032","display_name":"Bo Guan","orcid":"https://orcid.org/0000-0002-0936-4172"},"institutions":[{"id":"https://openalex.org/I4210160994","display_name":"Ministry of Education","ror":"https://ror.org/05w8pph52","country_code":"KN","type":"government","lineage":["https://openalex.org/I4210160994"]}],"countries":["KN"],"is_corresponding":false,"raw_author_name":"Bo Guan","raw_affiliation_strings":["Key Laboratory for Mechanism Theory and Equipment Design of Ministry of Education, Tianjin University, Tianjin, China"],"raw_orcid":"https://orcid.org/0000-0002-0936-4172","affiliations":[{"raw_affiliation_string":"Key Laboratory for Mechanism Theory and Equipment Design of Ministry of Education, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I4210160994"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5123421794","display_name":"Jianchang Zhao","orcid":null},"institutions":[{"id":"https://openalex.org/I4210160994","display_name":"Ministry of Education","ror":"https://ror.org/05w8pph52","country_code":"KN","type":"government","lineage":["https://openalex.org/I4210160994"]}],"countries":["KN"],"is_corresponding":false,"raw_author_name":"Jianchang Zhao","raw_affiliation_strings":["Key Laboratory for Mechanism Theory and Equipment Design of Ministry of Education, Tianjin University, Tianjin, China"],"raw_orcid":"https://orcid.org/0000-0003-2979-648X","affiliations":[{"raw_affiliation_string":"Key Laboratory for Mechanism Theory and Equipment Design of Ministry of Education, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I4210160994"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I162868743"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.12638604,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"11","issue":"3","first_page":"2897","last_page":"2904"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10653","display_name":"Robot Manipulation and Learning","score":0.16699999570846558,"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":0.16699999570846558,"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/T10916","display_name":"Surgical Simulation and Training","score":0.1606999933719635,"subfield":{"id":"https://openalex.org/subfields/2746","display_name":"Surgery"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T11714","display_name":"Multimodal Machine Learning Applications","score":0.09570000320672989,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6399999856948853},{"id":"https://openalex.org/keywords/robotics","display_name":"Robotics","score":0.5895000100135803},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.5830000042915344},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5598999857902527},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.5532000064849854},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.4178999960422516},{"id":"https://openalex.org/keywords/task-analysis","display_name":"Task analysis","score":0.40049999952316284},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.39649999141693115},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.36010000109672546}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6873999834060669},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.682200014591217},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6399999856948853},{"id":"https://openalex.org/C34413123","wikidata":"https://www.wikidata.org/wiki/Q170978","display_name":"Robotics","level":3,"score":0.5895000100135803},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.5830000042915344},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5598999857902527},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.5532000064849854},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.44359999895095825},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.4350999891757965},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.4178999960422516},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.40049999952316284},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.39649999141693115},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.36010000109672546},{"id":"https://openalex.org/C160086991","wikidata":"https://www.wikidata.org/wiki/Q5939193","display_name":"Human visual system model","level":3,"score":0.3497999906539917},{"id":"https://openalex.org/C145460709","wikidata":"https://www.wikidata.org/wiki/Q859951","display_name":"Human\u2013robot interaction","level":3,"score":0.328000009059906},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.32409998774528503},{"id":"https://openalex.org/C100609095","wikidata":"https://www.wikidata.org/wiki/Q1335050","display_name":"Embodied cognition","level":2,"score":0.32120001316070557},{"id":"https://openalex.org/C5339829","wikidata":"https://www.wikidata.org/wiki/Q1425977","display_name":"Machine vision","level":2,"score":0.31850001215934753},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.31209999322891235},{"id":"https://openalex.org/C3020001037","wikidata":"https://www.wikidata.org/wiki/Q836575","display_name":"Quality assessment","level":3,"score":0.29179999232292175},{"id":"https://openalex.org/C207347870","wikidata":"https://www.wikidata.org/wiki/Q371174","display_name":"Gesture","level":2,"score":0.28439998626708984},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2624000012874603},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.2556000053882599},{"id":"https://openalex.org/C2776207758","wikidata":"https://www.wikidata.org/wiki/Q5303302","display_name":"Downstream (manufacturing)","level":2,"score":0.25450000166893005},{"id":"https://openalex.org/C17511633","wikidata":"https://www.wikidata.org/wiki/Q830694","display_name":"SMT placement equipment","level":3,"score":0.25130000710487366},{"id":"https://openalex.org/C103203806","wikidata":"https://www.wikidata.org/wiki/Q942348","display_name":"Robotic surgery","level":2,"score":0.25040000677108765}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lra.2026.3655273","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lra.2026.3655273","pdf_url":null,"source":{"id":"https://openalex.org/S4210169774","display_name":"IEEE Robotics and Automation Letters","issn_l":"2377-3766","issn":["2377-3766"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Robotics and Automation Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5330747559","display_name":null,"funder_award_id":"52525504","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7071389566","display_name":null,"funder_award_id":"U25A20144","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7200888540","display_name":null,"funder_award_id":"24JCJQJC00090","funder_id":"https://openalex.org/F4320323993","funder_display_name":"Natural Science Foundation of Tianjin City"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320323993","display_name":"Natural Science Foundation of Tianjin City","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W1977725648","https://openalex.org/W1982471090","https://openalex.org/W1984127772","https://openalex.org/W2051596736","https://openalex.org/W2083610878","https://openalex.org/W2102166818","https://openalex.org/W2148848374","https://openalex.org/W2563786098","https://openalex.org/W2593841437","https://openalex.org/W2905544033","https://openalex.org/W2920926741","https://openalex.org/W2963800628","https://openalex.org/W2963980515","https://openalex.org/W3012322483","https://openalex.org/W3035719652","https://openalex.org/W3109016160","https://openalex.org/W3150630416","https://openalex.org/W3174205064","https://openalex.org/W3196971551","https://openalex.org/W3198377975","https://openalex.org/W3205724495","https://openalex.org/W4296053327","https://openalex.org/W4312310776","https://openalex.org/W4382462760","https://openalex.org/W4386065763","https://openalex.org/W4386076169","https://openalex.org/W4390638513","https://openalex.org/W4390874575","https://openalex.org/W4391970846","https://openalex.org/W4393078930","https://openalex.org/W4402599849"],"related_works":[],"abstract_inverted_index":{"Robotic":[0],"surgical":[1,78,165],"systems":[2],"rely":[3],"on":[4,55,58],"visual":[5,148,153],"input":[6],"to":[7,32,130],"perform":[8],"critical":[9],"tasks":[10],"such":[11],"as":[12],"tool":[13],"manipulation":[14],"and":[15,127,161],"gesture":[16],"recognition,":[17],"where":[18],"image":[19,26,52],"quality":[20,27,53,81,102,133,154],"directly":[21],"affects":[22],"performance.":[23,38],"However,":[24],"conventional":[25],"assessment":[28],"(IQA)":[29],"methods":[30,142],"fail":[31],"reflect":[33],"how":[34],"degradations":[35,93],"impact":[36],"robotic":[37,60,88,164],"We":[39],"propose":[40],"Task-Driven":[41],"Embodied":[42],"Vision":[43],"Quality":[44],"Assessment":[45],"(TD-EVQA),":[46],"a":[47,73,99,156],"novel":[48],"framework":[49],"that":[50,137],"evaluates":[51],"based":[54],"its":[56],"effect":[57],"downstream":[59],"task":[61],"performance":[62,85,145],"rather":[63],"than":[64],"human":[65],"perception.":[66],"To":[67,105],"support":[68],"this,":[69],"we":[70,97],"introduce":[71],"SurgDegrade,":[72],"large-scale":[74],"benchmark":[75],"of":[76],"degraded":[77],"images":[79],"with":[80],"labels":[82],"derived":[83],"from":[84,155],"degradation":[86,146],"in":[87,143,163],"tasks.":[89],"By":[90],"simulating":[91],"real-world":[92],"at":[94],"varying":[95],"levels,":[96],"establish":[98],"fine-grained,":[100],"task-aware":[101],"supervision":[103],"signal.":[104],"learn":[106],"this":[107],"quality-performance":[108],"mapping,":[109],"TD-EVQA":[110,138],"adapts":[111],"frozen":[112],"vision-language":[113],"foundation":[114],"models":[115],"via":[116],"prompt":[117],"tuning.":[118],"The":[119],"model":[120],"incorporates":[121],"static":[122],"context":[123],"prompts,":[124],"instance-conditioned":[125],"adaptation,":[126],"knowledge-guided":[128],"regularization":[129],"infer":[131],"task-relevant":[132],"scores.":[134],"Experiments":[135],"show":[136],"surpasses":[139],"existing":[140],"IQA":[141],"predicting":[144],"under":[147],"distortion.":[149],"Our":[150],"approach":[151],"redefines":[152],"functional":[157],"perspective,":[158],"enhancing":[159],"safety":[160],"reliability":[162],"systems.":[166]},"counts_by_year":[],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2026-01-21T00:00:00"}