{"id":"https://openalex.org/W4366380947","doi":"https://doi.org/10.1145/3584376.3584551","title":"Trimodality Fusion for Soft Gripper's Grasping Prediction","display_name":"Trimodality Fusion for Soft Gripper's Grasping Prediction","publication_year":2022,"publication_date":"2022-12-16","ids":{"openalex":"https://openalex.org/W4366380947","doi":"https://doi.org/10.1145/3584376.3584551"},"language":"en","primary_location":{"id":"doi:10.1145/3584376.3584551","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3584376.3584551","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2022 4th International Conference on Robotics, Intelligent Control and Artificial Intelligence","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/A5111540431","display_name":"Yan Fu","orcid":null},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yan Fu","raw_affiliation_strings":["Department of Control Engineering, Northeastern University, China"],"affiliations":[{"raw_affiliation_string":"Department of Control Engineering, Northeastern University, China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100450831","display_name":"Shuyu Wang","orcid":"https://orcid.org/0000-0002-0038-1347"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuyu Wang","raw_affiliation_strings":["Northeastern University, China"],"affiliations":[{"raw_affiliation_string":"Northeastern University, China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021591702","display_name":"Xiaopeng Sha","orcid":"https://orcid.org/0000-0003-3323-7322"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaopeng Sha","raw_affiliation_strings":["Department of Control Engineering, Northeastern University, China"],"affiliations":[{"raw_affiliation_string":"Department of Control Engineering, Northeastern University, China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103157897","display_name":"Lianjiang Li","orcid":"https://orcid.org/0000-0002-2938-1615"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lianjiang Li","raw_affiliation_strings":["Department of Control Engineering, Northeastern University, China"],"affiliations":[{"raw_affiliation_string":"Department of Control Engineering, Northeastern University, China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010455569","display_name":"Yuliang Zhao","orcid":"https://orcid.org/0000-0002-4519-7404"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuliang Zhao","raw_affiliation_strings":["Department of Control Engineering, Northeastern University, China"],"affiliations":[{"raw_affiliation_string":"Department of Control Engineering, Northeastern University, China","institution_ids":["https://openalex.org/I9224756"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5111540431"],"corresponding_institution_ids":["https://openalex.org/I9224756"],"apc_list":null,"apc_paid":null,"fwci":0.1205,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.46081028,"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":"980","last_page":"986"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10653","display_name":"Robot Manipulation and Learning","score":0.9991999864578247,"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":0.9991999864578247,"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/T10784","display_name":"Muscle activation and electromyography studies","score":0.993399977684021,"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"}},{"id":"https://openalex.org/T10338","display_name":"Advanced Sensor and Energy Harvesting Materials","score":0.9925000071525574,"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/grippers","display_name":"Grippers","score":0.6975014805793762},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6676881313323975},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6248194575309753},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.5930411219596863},{"id":"https://openalex.org/keywords/modality","display_name":"Modality (human\u2013computer interaction)","score":0.5142802596092224},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4902036786079407},{"id":"https://openalex.org/keywords/haptic-technology","display_name":"Haptic technology","score":0.48120835423469543},{"id":"https://openalex.org/keywords/soft-sensor","display_name":"Soft sensor","score":0.45068472623825073},{"id":"https://openalex.org/keywords/fuse","display_name":"Fuse (electrical)","score":0.44796422123908997},{"id":"https://openalex.org/keywords/soft-robotics","display_name":"Soft robotics","score":0.43655964732170105},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.4140413701534271},{"id":"https://openalex.org/keywords/actuator","display_name":"Actuator","score":0.2409418225288391},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.2175176739692688},{"id":"https://openalex.org/keywords/mechanical-engineering","display_name":"Mechanical engineering","score":0.11529907584190369}],"concepts":[{"id":"https://openalex.org/C2775960376","wikidata":"https://www.wikidata.org/wiki/Q1435859","display_name":"Grippers","level":2,"score":0.6975014805793762},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6676881313323975},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6248194575309753},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.5930411219596863},{"id":"https://openalex.org/C2780226545","wikidata":"https://www.wikidata.org/wiki/Q6888030","display_name":"Modality (human\u2013computer interaction)","level":2,"score":0.5142802596092224},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4902036786079407},{"id":"https://openalex.org/C152086174","wikidata":"https://www.wikidata.org/wiki/Q3030571","display_name":"Haptic technology","level":2,"score":0.48120835423469543},{"id":"https://openalex.org/C115575686","wikidata":"https://www.wikidata.org/wiki/Q18822403","display_name":"Soft sensor","level":3,"score":0.45068472623825073},{"id":"https://openalex.org/C141353440","wikidata":"https://www.wikidata.org/wiki/Q182221","display_name":"Fuse (electrical)","level":2,"score":0.44796422123908997},{"id":"https://openalex.org/C2776058767","wikidata":"https://www.wikidata.org/wiki/Q24327151","display_name":"Soft robotics","level":3,"score":0.43655964732170105},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.4140413701534271},{"id":"https://openalex.org/C172707124","wikidata":"https://www.wikidata.org/wiki/Q423488","display_name":"Actuator","level":2,"score":0.2409418225288391},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2175176739692688},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.11529907584190369},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3584376.3584551","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3584376.3584551","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2022 4th International Conference on Robotics, Intelligent Control and Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","score":0.4699999988079071,"display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W2078344108","https://openalex.org/W2115669646","https://openalex.org/W2125790828","https://openalex.org/W2221877149","https://openalex.org/W2537677623","https://openalex.org/W2613677041","https://openalex.org/W2734686976","https://openalex.org/W2797031981","https://openalex.org/W2804941773","https://openalex.org/W2913446864","https://openalex.org/W2966287654","https://openalex.org/W2974544900","https://openalex.org/W3012366945","https://openalex.org/W3033578652","https://openalex.org/W3045333156","https://openalex.org/W3098436915","https://openalex.org/W3217380699","https://openalex.org/W4253075444"],"related_works":["https://openalex.org/W3014507301","https://openalex.org/W4377030113","https://openalex.org/W2908594317","https://openalex.org/W3206105843","https://openalex.org/W4376605699","https://openalex.org/W2901721787","https://openalex.org/W4385356446","https://openalex.org/W3119366040","https://openalex.org/W4307256295","https://openalex.org/W2973761438"],"abstract_inverted_index":{"Soft":[0],"gripper's":[1,37,120],"grasping":[2,43,57,71,103,121],"prediction":[3,122],"is":[4,25],"a":[5,40,62,65,78,80,84,96],"crucial":[6],"task":[7],"in":[8],"industrial":[9],"automation,":[10],"which":[11,51],"requires":[12],"feedback":[13],"from":[14],"multiple":[15],"modalities,":[16],"such":[17],"as":[18,39],"vision":[19],"and":[20,32,83],"touch.":[21],"However,":[22],"multimodal":[23,91],"fusion":[24,113],"challenging":[26],"due":[27],"to":[28,100],"mismatched":[29],"data":[30,93],"dimensions":[31],"density.":[33],"Meanwhile,":[34],"the":[35,90,102,111,118],"soft":[36,69,119],"bending":[38],"result":[41],"of":[42,64],"force":[44],"can":[45,115],"be":[46,54],"monitored":[47,76],"by":[48,77],"flex":[49,85],"sensors,":[50],"may":[52],"also":[53],"helpful":[55],"for":[56],"prediction.":[58],"Here":[59],"we":[60,88],"create":[61],"dataset":[63],"fin":[66],"ray":[67],"effect":[68],"gripper":[70],"various":[72],"objects":[73],"while":[74],"being":[75],"camera,":[79],"pressure":[81],"sensor,":[82],"sensor.":[86],"Next,":[87],"fuse":[89],"sensory":[92],"based":[94],"on":[95],"deep":[97],"learning":[98],"model":[99,114],"predict":[101],"outcome.":[104],"The":[105],"ablation":[106],"experiment":[107],"results":[108],"show":[109],"that":[110],"trimodality":[112],"effectively":[116],"improve":[117],"performance.":[123]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}