{"id":"https://openalex.org/W4411086225","doi":"https://doi.org/10.1109/lra.2025.3577421","title":"Learning Deformable Linear Object Dynamics From a Single Trajectory","display_name":"Learning Deformable Linear Object Dynamics From a Single Trajectory","publication_year":2025,"publication_date":"2025-06-06","ids":{"openalex":"https://openalex.org/W4411086225","doi":"https://doi.org/10.1109/lra.2025.3577421"},"language":"en","primary_location":{"id":"doi:10.1109/lra.2025.3577421","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lra.2025.3577421","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":true,"oa_status":"green","oa_url":"https://lirias.kuleuven.be/handle/20.500.12942/767494","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5017149651","display_name":"Shamil Mamedov","orcid":"https://orcid.org/0000-0002-5381-7976"},"institutions":[{"id":"https://openalex.org/I4210116480","display_name":"Flanders Make (Belgium)","ror":"https://ror.org/02ndjfz59","country_code":"BE","type":"company","lineage":["https://openalex.org/I4210116480"]},{"id":"https://openalex.org/I99464096","display_name":"KU Leuven","ror":"https://ror.org/05f950310","country_code":"BE","type":"education","lineage":["https://openalex.org/I99464096"]}],"countries":["BE"],"is_corresponding":true,"raw_author_name":"Shamil Mamedov","raw_affiliation_strings":["MECO Research Team, KU Leuven and Flanders Make@KU Leuven, Heverlee, Belgium"],"raw_orcid":"https://orcid.org/0000-0002-5381-7976","affiliations":[{"raw_affiliation_string":"MECO Research Team, KU Leuven and Flanders Make@KU Leuven, Heverlee, Belgium","institution_ids":["https://openalex.org/I4210116480","https://openalex.org/I99464096"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035318025","display_name":"A. Ren\u00e9 Geist","orcid":"https://orcid.org/0000-0003-2551-2419"},"institutions":[{"id":"https://openalex.org/I887968799","display_name":"RWTH Aachen University","ror":"https://ror.org/04xfq0f34","country_code":"DE","type":"education","lineage":["https://openalex.org/I887968799"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"A. Ren\u00e9 Geist","raw_affiliation_strings":["Institute for Data Science in Mechanical Engineering, RWTH Aachen University, Aachen, Germany"],"raw_orcid":"https://orcid.org/0000-0003-2551-2419","affiliations":[{"raw_affiliation_string":"Institute for Data Science in Mechanical Engineering, RWTH Aachen University, Aachen, Germany","institution_ids":["https://openalex.org/I887968799"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113281888","display_name":"R. P. Viljoen","orcid":"https://orcid.org/0000-0001-7883-9381"},"institutions":[{"id":"https://openalex.org/I4210116480","display_name":"Flanders Make (Belgium)","ror":"https://ror.org/02ndjfz59","country_code":"BE","type":"company","lineage":["https://openalex.org/I4210116480"]},{"id":"https://openalex.org/I99464096","display_name":"KU Leuven","ror":"https://ror.org/05f950310","country_code":"BE","type":"education","lineage":["https://openalex.org/I99464096"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Ruan Viljoen","raw_affiliation_strings":["MECO Research Team, KU Leuven and Flanders Make@KU Leuven, Heverlee, Belgium"],"raw_orcid":"https://orcid.org/0000-0001-7883-9381","affiliations":[{"raw_affiliation_string":"MECO Research Team, KU Leuven and Flanders Make@KU Leuven, Heverlee, Belgium","institution_ids":["https://openalex.org/I4210116480","https://openalex.org/I99464096"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023990842","display_name":"Sebastian Trimpe","orcid":"https://orcid.org/0000-0002-2785-2487"},"institutions":[{"id":"https://openalex.org/I887968799","display_name":"RWTH Aachen University","ror":"https://ror.org/04xfq0f34","country_code":"DE","type":"education","lineage":["https://openalex.org/I887968799"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Sebastian Trimpe","raw_affiliation_strings":["Institute for Data Science in Mechanical Engineering, RWTH Aachen University, Aachen, Germany"],"raw_orcid":"https://orcid.org/0000-0002-2785-2487","affiliations":[{"raw_affiliation_string":"Institute for Data Science in Mechanical Engineering, RWTH Aachen University, Aachen, Germany","institution_ids":["https://openalex.org/I887968799"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5021674650","display_name":"Jan Swevers","orcid":"https://orcid.org/0000-0003-2034-5519"},"institutions":[{"id":"https://openalex.org/I4210116480","display_name":"Flanders Make (Belgium)","ror":"https://ror.org/02ndjfz59","country_code":"BE","type":"company","lineage":["https://openalex.org/I4210116480"]},{"id":"https://openalex.org/I99464096","display_name":"KU Leuven","ror":"https://ror.org/05f950310","country_code":"BE","type":"education","lineage":["https://openalex.org/I99464096"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Jan Swevers","raw_affiliation_strings":["MECO Research Team, KU Leuven and Flanders Make@KU Leuven, Heverlee, Belgium"],"raw_orcid":"https://orcid.org/0000-0003-2034-5519","affiliations":[{"raw_affiliation_string":"MECO Research Team, KU Leuven and Flanders Make@KU Leuven, Heverlee, Belgium","institution_ids":["https://openalex.org/I4210116480","https://openalex.org/I99464096"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5017149651"],"corresponding_institution_ids":["https://openalex.org/I4210116480","https://openalex.org/I99464096"],"apc_list":null,"apc_paid":null,"fwci":3.2172,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.92024143,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":"10","issue":"7","first_page":"7635","last_page":"7642"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10586","display_name":"Robotic Path Planning Algorithms","score":0.9993000030517578,"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/T10586","display_name":"Robotic Path Planning Algorithms","score":0.9993000030517578,"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/T10653","display_name":"Robot Manipulation and Learning","score":0.9993000030517578,"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/T10571","display_name":"Robotic Mechanisms and Dynamics","score":0.9984999895095825,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.756229043006897},{"id":"https://openalex.org/keywords/dynamics","display_name":"Dynamics (music)","score":0.7290006279945374},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.6310960054397583},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5417500138282776},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.46453553438186646},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.43740034103393555},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.14899078011512756},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.05420964956283569}],"concepts":[{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.756229043006897},{"id":"https://openalex.org/C145912823","wikidata":"https://www.wikidata.org/wiki/Q113558","display_name":"Dynamics (music)","level":2,"score":0.7290006279945374},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.6310960054397583},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5417500138282776},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46453553438186646},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.43740034103393555},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.14899078011512756},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.05420964956283569},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/lra.2025.3577421","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lra.2025.3577421","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"},{"id":"pmh:oai:lirias2repo.kuleuven.be:20.500.12942/767494","is_oa":true,"landing_page_url":"https://lirias.kuleuven.be/handle/20.500.12942/767494","pdf_url":null,"source":{"id":"https://openalex.org/S4306401954","display_name":"Lirias (KU Leuven)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I99464096","host_organization_name":"KU Leuven","host_organization_lineage":["https://openalex.org/I99464096"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"IEEE Robotics and Automation Letters, vol. 10 (7), (7635-7642)","raw_type":"info:eu-repo/semantics/publishedVersion"}],"best_oa_location":{"id":"pmh:oai:lirias2repo.kuleuven.be:20.500.12942/767494","is_oa":true,"landing_page_url":"https://lirias.kuleuven.be/handle/20.500.12942/767494","pdf_url":null,"source":{"id":"https://openalex.org/S4306401954","display_name":"Lirias (KU Leuven)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I99464096","host_organization_name":"KU Leuven","host_organization_lineage":["https://openalex.org/I99464096"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"IEEE Robotics and Automation Letters, vol. 10 (7), (7635-7642)","raw_type":"info:eu-repo/semantics/publishedVersion"},"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.49000000953674316}],"awards":[{"id":"https://openalex.org/G4776787794","display_name":null,"funder_award_id":"S001821","funder_id":"https://openalex.org/F4320324232","funder_display_name":"RWTH Aachen University"}],"funders":[{"id":"https://openalex.org/F4320324232","display_name":"RWTH Aachen University","ror":"https://ror.org/04xfq0f34"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W569633549","https://openalex.org/W618254468","https://openalex.org/W1536964454","https://openalex.org/W1982447964","https://openalex.org/W2079038427","https://openalex.org/W2131376828","https://openalex.org/W2158782408","https://openalex.org/W2164636472","https://openalex.org/W2595539145","https://openalex.org/W2736363424","https://openalex.org/W2800462299","https://openalex.org/W2808405904","https://openalex.org/W2842089854","https://openalex.org/W2962834855","https://openalex.org/W2967246123","https://openalex.org/W3003169307","https://openalex.org/W3091248659","https://openalex.org/W3191867084","https://openalex.org/W3206509851","https://openalex.org/W3206634839","https://openalex.org/W4226047355","https://openalex.org/W4280511593","https://openalex.org/W4285102175","https://openalex.org/W4293581637","https://openalex.org/W4306703266","https://openalex.org/W4313639260","https://openalex.org/W4385452089","https://openalex.org/W4391128579","https://openalex.org/W4398179841","https://openalex.org/W4405786303"],"related_works":["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","https://openalex.org/W1969923398"],"abstract_inverted_index":{"The":[0],"dynamic":[1,47],"manipulation":[2],"of":[3,28,42,49,74],"deformable":[4,50],"objects":[5,18,52],"poses":[6],"a":[7,62,68,71,106],"significant":[8,20],"challenge":[9],"in":[10],"robotics.":[11],"While":[12],"model-based":[13],"approaches":[14],"for":[15],"controlling":[16],"such":[17],"hold":[19],"potential,":[21],"their":[22],"effectiveness":[23],"hinges":[24],"on":[25,39],"the":[26,46,56,123],"availability":[27],"an":[29],"accurate":[30],"and":[31,88,97,111],"computationally":[32],"efficient":[33],"dynamics":[34],"model.":[35],"This":[36],"work":[37],"focuses":[38],"sample-efficient":[40],"learning":[41],"models":[43],"to":[44,126],"capture":[45],"behavior":[48],"linear":[51,89],"(DLOs).":[53],"Inspired":[54],"by":[55,78],"pseudo-rigid":[57],"body":[58],"method,":[59],"we":[60,121],"present":[61],"physics-informed":[63],"neural":[64,107],"ODE":[65],"that":[66,101],"approximates":[67],"DLO":[69,129],"as":[70],"serial":[72],"chain":[73],"rigid":[75],"bodies":[76],"interconnected":[77],"passive":[79],"elastic":[80,99],"joints.":[81],"However,":[82],"unlike":[83],"traditional":[84],"uniform":[85],"spatial":[86],"discretization":[87,96],"springdamper":[90],"joints,":[91],"our":[92],"approach":[93],"involves":[94],"learning-based":[95],"nonlinear":[98],"joints":[100],"characterize":[102],"interaction":[103],"forces":[104],"via":[105],"network.":[108],"Through":[109],"real-world":[110],"simulation":[112],"experiments":[113],"involving":[114],"DLOs":[115],"with":[116],"markedly":[117],"different":[118],"physical":[119],"properties,":[120],"demonstrate":[122],"model's":[124],"ability":[125],"accurately":[127],"predict":[128],"motion.":[130]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":1}],"updated_date":"2026-05-07T13:39:58.223016","created_date":"2025-10-10T00:00:00"}