{"id":"https://openalex.org/W4404294742","doi":"https://doi.org/10.1109/m2vip62491.2024.10746100","title":"Enhancing a Bellow-Structure Soft Actuator Simulations via a Novel Continuous Collision Detection Algorithm","display_name":"Enhancing a Bellow-Structure Soft Actuator Simulations via a Novel Continuous Collision Detection Algorithm","publication_year":2024,"publication_date":"2024-10-03","ids":{"openalex":"https://openalex.org/W4404294742","doi":"https://doi.org/10.1109/m2vip62491.2024.10746100"},"language":"en","primary_location":{"id":"doi:10.1109/m2vip62491.2024.10746100","is_oa":false,"landing_page_url":"https://doi.org/10.1109/m2vip62491.2024.10746100","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 30th International Conference on Mechatronics and Machine Vision in Practice (M2VIP)","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/A5071361243","display_name":"Zhonghan Duanmu","orcid":"https://orcid.org/0000-0002-4583-3255"},"institutions":[{"id":"https://openalex.org/I154130895","display_name":"University of Auckland","ror":"https://ror.org/03b94tp07","country_code":"NZ","type":"education","lineage":["https://openalex.org/I154130895"]}],"countries":["NZ"],"is_corresponding":true,"raw_author_name":"Zhonghan Duanmu","raw_affiliation_strings":["The University of Auckland,Department of Mechanical and Mechatronics Engineering,Auckland,New Zealand,1010"],"affiliations":[{"raw_affiliation_string":"The University of Auckland,Department of Mechanical and Mechatronics Engineering,Auckland,New Zealand,1010","institution_ids":["https://openalex.org/I154130895"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086040899","display_name":"Martin Stommel","orcid":"https://orcid.org/0000-0002-7297-0351"},"institutions":[{"id":"https://openalex.org/I39854758","display_name":"Auckland University of Technology","ror":"https://ror.org/01zvqw119","country_code":"NZ","type":"education","lineage":["https://openalex.org/I39854758"]}],"countries":["NZ"],"is_corresponding":false,"raw_author_name":"Martin Stommel","raw_affiliation_strings":["Auckland University of Technology,Department of Electrical & Electronic Engineering,Auckland,New Zealand,1010"],"affiliations":[{"raw_affiliation_string":"Auckland University of Technology,Department of Electrical & Electronic Engineering,Auckland,New Zealand,1010","institution_ids":["https://openalex.org/I39854758"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036297582","display_name":"Leo K. Cheng","orcid":"https://orcid.org/0000-0003-2426-8987"},"institutions":[{"id":"https://openalex.org/I154130895","display_name":"University of Auckland","ror":"https://ror.org/03b94tp07","country_code":"NZ","type":"education","lineage":["https://openalex.org/I154130895"]}],"countries":["NZ"],"is_corresponding":false,"raw_author_name":"Leo K. Cheng","raw_affiliation_strings":["University of Auckland,Auckland Bioengineering Institute,Auckland,New Zealand,1010"],"affiliations":[{"raw_affiliation_string":"University of Auckland,Auckland Bioengineering Institute,Auckland,New Zealand,1010","institution_ids":["https://openalex.org/I154130895"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100407852","display_name":"Wei Xu","orcid":"https://orcid.org/0000-0002-1960-0992"},"institutions":[{"id":"https://openalex.org/I154130895","display_name":"University of Auckland","ror":"https://ror.org/03b94tp07","country_code":"NZ","type":"education","lineage":["https://openalex.org/I154130895"]}],"countries":["NZ"],"is_corresponding":false,"raw_author_name":"Weiliang Xu","raw_affiliation_strings":["The University of Auckland,Department of Mechanical and Mechatronics Engineering,Auckland,New Zealand,1010"],"affiliations":[{"raw_affiliation_string":"The University of Auckland,Department of Mechanical and Mechatronics Engineering,Auckland,New Zealand,1010","institution_ids":["https://openalex.org/I154130895"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5071361243"],"corresponding_institution_ids":["https://openalex.org/I154130895"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.21937213,"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":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10904","display_name":"Embedded Systems Design Techniques","score":0.9531000256538391,"subfield":{"id":"https://openalex.org/subfields/1708","display_name":"Hardware and Architecture"},"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/T10904","display_name":"Embedded Systems Design Techniques","score":0.9531000256538391,"subfield":{"id":"https://openalex.org/subfields/1708","display_name":"Hardware and Architecture"},"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/T10586","display_name":"Robotic Path Planning Algorithms","score":0.9075000286102295,"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/actuator","display_name":"Actuator","score":0.6640785932540894},{"id":"https://openalex.org/keywords/collision","display_name":"Collision","score":0.6364771127700806},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6357877254486084},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5787797570228577},{"id":"https://openalex.org/keywords/collision-detection","display_name":"Collision detection","score":0.571580708026886},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1984911859035492}],"concepts":[{"id":"https://openalex.org/C172707124","wikidata":"https://www.wikidata.org/wiki/Q423488","display_name":"Actuator","level":2,"score":0.6640785932540894},{"id":"https://openalex.org/C121704057","wikidata":"https://www.wikidata.org/wiki/Q352070","display_name":"Collision","level":2,"score":0.6364771127700806},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6357877254486084},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5787797570228577},{"id":"https://openalex.org/C199668693","wikidata":"https://www.wikidata.org/wiki/Q1550329","display_name":"Collision detection","level":3,"score":0.571580708026886},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1984911859035492},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/m2vip62491.2024.10746100","is_oa":false,"landing_page_url":"https://doi.org/10.1109/m2vip62491.2024.10746100","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 30th International Conference on Mechatronics and Machine Vision in Practice (M2VIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1497695555","https://openalex.org/W1846645567","https://openalex.org/W2009398710","https://openalex.org/W2020225084","https://openalex.org/W2042939553","https://openalex.org/W2043528569","https://openalex.org/W2060777666","https://openalex.org/W2108393875","https://openalex.org/W2123703543","https://openalex.org/W2146990154","https://openalex.org/W2167250168","https://openalex.org/W2168507359","https://openalex.org/W3104146270"],"related_works":["https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W3138645172","https://openalex.org/W2148917807","https://openalex.org/W3215492696","https://openalex.org/W2028510469","https://openalex.org/W913501818","https://openalex.org/W4379525781","https://openalex.org/W2021628292","https://openalex.org/W2386769972"],"abstract_inverted_index":{"Accurate":[0],"modeling":[1,167],"of":[2,21,39,77,101,108,123,139,147,164],"a":[3,7,35,86,109,114],"soft":[4,11,23,40,46,110,148,165],"robot":[5,41,47,149],"remains":[6],"significant":[8],"challenge":[9],"in":[10,58],"robotics.":[12],"A":[13],"precise":[14],"model":[15],"enables":[16],"the":[17,22,29,72,75,78,98,102,106,124,137,140,145,162],"more":[18,36],"accurate":[19],"control":[20],"robot.":[24],"Among":[25],"various":[26],"simulation":[27,104],"methods,":[28],"finite":[30],"element":[31],"method":[32],"(FEM)":[33],"offers":[34],"realistic":[37],"representation":[38],"behavior.":[42],"However,":[43],"during":[44,105],"simulations,":[45],"bodies":[48],"may":[49],"experience":[50],"collisions,":[51],"especially":[52],"with":[53,118,129],"complicated":[54],"structures,":[55],"which":[56,112],"results":[57,135],"challenges":[59],"to":[60,80,96,143,159,161],"traditional":[61],"discrete":[62],"collision":[63,89],"detection.":[64],"Collision":[65],"detection":[66,90],"is":[67,92],"an":[68],"algorithm":[69,91,125,142,155],"that":[70],"determines":[71],"limitations":[73],"on":[74],"surface":[76],"convolutions":[79],"avoid":[81],"penetration.":[82],"In":[83],"this":[84],"paper,":[85],"novel":[87],"continuous":[88],"designed":[93],"and":[94,153],"proposed":[95,141],"benefit":[97],"accuracy":[99,146],"performance":[100],"FEM":[103],"contraction":[107],"actuator,":[111],"contains":[113],"complex":[115],"bellow":[116],"structure":[117],"eight":[119],"convolutions.":[120],"The":[121,133],"details":[122],"are":[126,157],"presented,":[127],"along":[128],"initial":[130],"validation":[131,156],"results.":[132],"preliminary":[134],"demonstrate":[136],"potential":[138],"enhance":[144],"simulations.":[150],"Further":[151],"development":[152],"extensive":[154],"ongoing":[158],"contribute":[160],"advancement":[163],"robotics":[166],"techniques.":[168]},"counts_by_year":[],"updated_date":"2025-12-27T23:08:20.325037","created_date":"2025-10-10T00:00:00"}