{"id":"https://openalex.org/W4416436282","doi":"https://doi.org/10.1541/ieejjia.20250112","title":"Path Optimization for Construction Machines Based on Real-World Soil Dynamics","display_name":"Path Optimization for Construction Machines Based on Real-World Soil Dynamics","publication_year":2025,"publication_date":"2025-11-20","ids":{"openalex":"https://openalex.org/W4416436282","doi":"https://doi.org/10.1541/ieejjia.20250112"},"language":"en","primary_location":{"id":"doi:10.1541/ieejjia.20250112","doi":"https://doi.org/10.1541/ieejjia.20250112","is_oa":true,"landing_page_url":"https://doi.org/10.1541/ieejjia.20250112","pdf_url":null,"source":{"id":"https://openalex.org/S2764940497","display_name":"IEEJ Journal of Industry Applications","issn_l":"2187-1094","issn":["2187-1094","2187-1108"],"is_oa":true,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","jufo-1","norway-1"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEJ Journal of Industry Applications","raw_type":"journal-article"},"volume":null,"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://doi.org/10.1541/ieejjia.20250112","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5050560173","display_name":"Yuto Sugai","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I171481255","display_name":"Shibaura Institute of Technology","ror":"https://ror.org/020wjcq07","country_code":"JP","type":"education","lineage":["https://openalex.org/I171481255"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yuto Sugai","raw_affiliation_strings":["Shibaura Institute of Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shibaura Institute of Technology","institution_ids":["https://openalex.org/I171481255"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113193238","display_name":"Tatsuya Nakayama","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I171481255","display_name":"Shibaura Institute of Technology","ror":"https://ror.org/020wjcq07","country_code":"JP","type":"education","lineage":["https://openalex.org/I171481255"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Tatsuya Nakayama","raw_affiliation_strings":["Shibaura Institute of Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shibaura Institute of Technology","institution_ids":["https://openalex.org/I171481255"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5120658596","display_name":"Kaku Tsukagoshi","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I171481255","display_name":"Shibaura Institute of Technology","ror":"https://ror.org/020wjcq07","country_code":"JP","type":"education","lineage":["https://openalex.org/I171481255"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kaku Tsukagoshi","raw_affiliation_strings":["Shibaura Institute of Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shibaura Institute of Technology","institution_ids":["https://openalex.org/I171481255"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Funa Yamamoto","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I171481255","display_name":"Shibaura Institute of Technology","ror":"https://ror.org/020wjcq07","country_code":"JP","type":"education","lineage":["https://openalex.org/I171481255"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Funa Yamamoto","raw_affiliation_strings":["Shibaura Institute of Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shibaura Institute of Technology","institution_ids":["https://openalex.org/I171481255"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110775550","display_name":"Yutaka Uchimura","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I171481255","display_name":"Shibaura Institute of Technology","ror":"https://ror.org/020wjcq07","country_code":"JP","type":"education","lineage":["https://openalex.org/I171481255"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yutaka Uchimura","raw_affiliation_strings":["Shibaura Institute of Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shibaura Institute of Technology","institution_ids":["https://openalex.org/I171481255"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I171481255"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.2539479,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"15","issue":"2","first_page":"187","last_page":"194"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11978","display_name":"Soil Mechanics and Vehicle Dynamics","score":0.8823000192642212,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural 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/T11978","display_name":"Soil Mechanics and Vehicle Dynamics","score":0.8823000192642212,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural 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/T10462","display_name":"Reinforcement Learning in Robotics","score":0.09149999916553497,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10616","display_name":"Smart Agriculture and AI","score":0.005900000222027302,"subfield":{"id":"https://openalex.org/subfields/1110","display_name":"Plant Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/construction-machinery-automation","display_name":"construction machinery automation","score":0.7860000133514404},{"id":"https://openalex.org/keywords/robotic-testbed","display_name":"robotic testbed","score":0.7630000114440918},{"id":"https://openalex.org/keywords/data-augmentation","display_name":"data augmentation","score":0.9990000128746033}],"concepts":[{"id":"https://openalex.org/C31395832","wikidata":"https://www.wikidata.org/wiki/Q1318674","display_name":"Testbed","level":2,"score":0.7962999939918518},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7379000186920166},{"id":"https://openalex.org/C115901376","wikidata":"https://www.wikidata.org/wiki/Q184199","display_name":"Automation","level":2,"score":0.6450999975204468},{"id":"https://openalex.org/C2781162219","wikidata":"https://www.wikidata.org/wiki/Q26250693","display_name":"Replicate","level":2,"score":0.5932000279426575},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5569999814033508},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.45249998569488525},{"id":"https://openalex.org/C81074085","wikidata":"https://www.wikidata.org/wiki/Q366872","display_name":"Motion planning","level":3,"score":0.4147000014781952},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.39399999380111694},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.3889999985694885},{"id":"https://openalex.org/C108215451","wikidata":"https://www.wikidata.org/wiki/Q7263963","display_name":"Simulation modeling","level":2,"score":0.3702000081539154},{"id":"https://openalex.org/C13736549","wikidata":"https://www.wikidata.org/wiki/Q4489420","display_name":"Industrial engineering","level":1,"score":0.36419999599456787},{"id":"https://openalex.org/C2776505523","wikidata":"https://www.wikidata.org/wiki/Q4785468","display_name":"Plan (archaeology)","level":2,"score":0.35679998993873596},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3393000066280365},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","level":1,"score":0.33009999990463257},{"id":"https://openalex.org/C34413123","wikidata":"https://www.wikidata.org/wiki/Q170978","display_name":"Robotics","level":3,"score":0.30790001153945923},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.2881999909877777},{"id":"https://openalex.org/C126197015","wikidata":"https://www.wikidata.org/wiki/Q1586683","display_name":"Hydrological modelling","level":2,"score":0.2858000099658966},{"id":"https://openalex.org/C135796866","wikidata":"https://www.wikidata.org/wiki/Q7315328","display_name":"Reservoir computing","level":4,"score":0.2768000066280365},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.2752000093460083},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.27250000834465027},{"id":"https://openalex.org/C77405623","wikidata":"https://www.wikidata.org/wiki/Q598451","display_name":"System dynamics","level":2,"score":0.27059999108314514},{"id":"https://openalex.org/C72514878","wikidata":"https://www.wikidata.org/wiki/Q919765","display_name":"Computational mechanics","level":3,"score":0.26179999113082886},{"id":"https://openalex.org/C2780598303","wikidata":"https://www.wikidata.org/wiki/Q65921492","display_name":"Flexibility (engineering)","level":2,"score":0.25029999017715454}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1541/ieejjia.20250112","doi":"https://doi.org/10.1541/ieejjia.20250112","is_oa":true,"landing_page_url":"https://doi.org/10.1541/ieejjia.20250112","pdf_url":null,"source":{"id":"https://openalex.org/S2764940497","display_name":"IEEJ Journal of Industry Applications","issn_l":"2187-1094","issn":["2187-1094","2187-1108"],"is_oa":true,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","jufo-1","norway-1"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEJ Journal of Industry Applications","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1541/ieejjia.20250112","doi":"https://doi.org/10.1541/ieejjia.20250112","is_oa":true,"landing_page_url":"https://doi.org/10.1541/ieejjia.20250112","pdf_url":null,"source":{"id":"https://openalex.org/S2764940497","display_name":"IEEJ Journal of Industry Applications","issn_l":"2187-1094","issn":["2187-1094","2187-1108"],"is_oa":true,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","jufo-1","norway-1"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEJ Journal of Industry Applications","raw_type":"journal-article"},"sustainable_development_goals":[{"score":1.0,"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9"}],"sustainable_development_goals_aurora":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W2064675550","https://openalex.org/W2126172766","https://openalex.org/W3028820810","https://openalex.org/W3029776688","https://openalex.org/W3096398982","https://openalex.org/W3143391759","https://openalex.org/W3176461659","https://openalex.org/W3185439488","https://openalex.org/W4281806702","https://openalex.org/W4293094966","https://openalex.org/W4313274547","https://openalex.org/W4361208674","https://openalex.org/W4388098273","https://openalex.org/W4390733250","https://openalex.org/W4400312285","https://openalex.org/W4401068877"],"related_works":[],"abstract_inverted_index":{"The":[0],"automation":[1,16],"of":[2,20,109,151,167,176],"construction":[3,171],"machinery,":[4],"such":[5],"as":[6],"bulldozers,":[7],"has":[8],"gained":[9],"significant":[10,35],"attention":[11],"in":[12,37],"recent":[13],"years.":[14],"Effective":[15],"requires":[17],"accurate":[18],"modeling":[19,169],"soil":[21,38,60,80,84,113],"behavior":[22,85],"and":[23,40,47,87,97,138,158],"plan":[24],"path":[25,131],"planning.":[26],"Conventional":[27],"approaches":[28],"rely":[29],"on":[30,94,142],"physics-based":[31],"simulators,":[32],"which":[33],"demand":[34],"expertise":[36],"mechanics":[39],"substantial":[41],"computational":[42],"resources":[43],"for":[44,69,170],"their":[45],"design":[46],"operation.":[48],"To":[49],"overcome":[50],"these":[51],"limitations,":[52],"we":[53,103,128],"propose":[54],"a":[55,75,105,130,147,156],"data-driven":[56,116],"framework":[57],"that":[58],"models":[59],"dynamics":[61,117],"directly":[62],"from":[63],"real-world":[64,168],"observations,":[65],"eliminating":[66],"the":[67,135,143,165,187],"need":[68],"complex":[70],"simulator":[71],"design.":[72],"We":[73],"developed":[74],"robotic":[76],"testbed":[77],"to":[78,161],"replicate":[79],"spreading":[81],"work,":[82],"collected":[83],"data,":[86],"introduced":[88],"an":[89],"efficient":[90,159],"learning":[91],"method":[92],"based":[93],"localized":[95],"prediction":[96],"data":[98],"augmentation.":[99],"Using":[100],"this":[101,177],"approach,":[102],"trained":[104,129],"neural":[106],"network":[107,133],"capable":[108],"accurately":[110],"predicting":[111],"post-push":[112],"profiles.":[114],"Our":[115],"model":[118],"is":[119],"approximately":[120],"15.5":[121],"times":[122],"faster":[123],"than":[124],"conventional":[125],"simulators.":[126],"Additionally,":[127],"planning":[132],"within":[134],"learned":[136],"environment":[137],"validated":[139],"its":[140],"performance":[141],"physical":[144],"testbed,":[145],"achieving":[146],"high":[148],"fill":[149],"rate":[150],"90.8%.":[152],"This":[153],"work":[154],"demonstrates":[155],"practical":[157],"alternative":[160],"traditional":[162],"simulation,":[163],"highlighting":[164],"potential":[166],"automation.":[172],"A":[173],"preliminary":[174],"version":[175],"paper":[178],"was":[179],"presented":[180],"at":[181],"SAMCON":[182],"2025(1),":[183],"where":[184],"it":[185],"received":[186],"Outstanding":[188],"Paper":[189],"Award.":[190]},"counts_by_year":[],"updated_date":"2026-09-22T06:50:58.402377","created_date":"2025-11-23T00:00:00"}
