{"id":"https://openalex.org/W4407373077","doi":"https://doi.org/10.1109/lra.2025.3540633","title":"Anytime Planning for End-Effector Trajectory Tracking","display_name":"Anytime Planning for End-Effector Trajectory Tracking","publication_year":2025,"publication_date":"2025-02-11","ids":{"openalex":"https://openalex.org/W4407373077","doi":"https://doi.org/10.1109/lra.2025.3540633"},"language":"en","primary_location":{"id":"doi:10.1109/lra.2025.3540633","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lra.2025.3540633","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":"https://openalex.org/A5036679697","display_name":"Yeping Wang","orcid":"https://orcid.org/0000-0003-2628-0146"},"institutions":[{"id":"https://openalex.org/I135310074","display_name":"University of Wisconsin\u2013Madison","ror":"https://ror.org/01y2jtd41","country_code":"US","type":"education","lineage":["https://openalex.org/I135310074"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Yeping Wang","raw_affiliation_strings":["Department of Computer Sciences, University of Wisconsin-Madison, Madison, WI, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Sciences, University of Wisconsin-Madison, Madison, WI, USA","institution_ids":["https://openalex.org/I135310074"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084778474","display_name":"Michael Gleicher","orcid":"https://orcid.org/0000-0003-3295-4071"},"institutions":[{"id":"https://openalex.org/I135310074","display_name":"University of Wisconsin\u2013Madison","ror":"https://ror.org/01y2jtd41","country_code":"US","type":"education","lineage":["https://openalex.org/I135310074"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Michael Gleicher","raw_affiliation_strings":["Department of Computer Sciences, University of Wisconsin-Madison, Madison, WI, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Sciences, University of Wisconsin-Madison, Madison, WI, USA","institution_ids":["https://openalex.org/I135310074"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5036679697"],"corresponding_institution_ids":["https://openalex.org/I135310074"],"apc_list":null,"apc_paid":null,"fwci":2.4362,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.87032429,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":"10","issue":"4","first_page":"3246","last_page":"3253"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10586","display_name":"Robotic Path Planning Algorithms","score":0.9958000183105469,"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":0.9958000183105469,"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/T10142","display_name":"Formal Methods in Verification","score":0.9876999855041504,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T10571","display_name":"Robotic Mechanisms and Dynamics","score":0.963100016117096,"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":0.5597845315933228},{"id":"https://openalex.org/keywords/effector","display_name":"Effector","score":0.5452715158462524},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.5417723059654236},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4791916608810425},{"id":"https://openalex.org/keywords/robot-end-effector","display_name":"Robot end effector","score":0.4772377014160156},{"id":"https://openalex.org/keywords/end-to-end-principle","display_name":"End-to-end principle","score":0.4421050548553467},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3333050608634949},{"id":"https://openalex.org/keywords/cell-biology","display_name":"Cell biology","score":0.2057359218597412},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.19201874732971191},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.1538948118686676},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.11066707968711853},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.0712413489818573}],"concepts":[{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.5597845315933228},{"id":"https://openalex.org/C51785407","wikidata":"https://www.wikidata.org/wiki/Q2627568","display_name":"Effector","level":2,"score":0.5452715158462524},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.5417723059654236},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4791916608810425},{"id":"https://openalex.org/C8652668","wikidata":"https://www.wikidata.org/wiki/Q1340324","display_name":"Robot end effector","level":3,"score":0.4772377014160156},{"id":"https://openalex.org/C74296488","wikidata":"https://www.wikidata.org/wiki/Q2527392","display_name":"End-to-end principle","level":2,"score":0.4421050548553467},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3333050608634949},{"id":"https://openalex.org/C95444343","wikidata":"https://www.wikidata.org/wiki/Q7141","display_name":"Cell biology","level":1,"score":0.2057359218597412},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.19201874732971191},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.1538948118686676},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.11066707968711853},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0712413489818573},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lra.2025.3540633","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lra.2025.3540633","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":[{"display_name":"Climate action","id":"https://metadata.un.org/sdg/13","score":0.5600000023841858}],"awards":[{"id":"https://openalex.org/G3459821447","display_name":null,"funder_award_id":"2007436","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1976952767","https://openalex.org/W2012294177","https://openalex.org/W2058544403","https://openalex.org/W2142224528","https://openalex.org/W2159722616","https://openalex.org/W2205340216","https://openalex.org/W2562184125","https://openalex.org/W2764278393","https://openalex.org/W2765226061","https://openalex.org/W2783424892","https://openalex.org/W2805114031","https://openalex.org/W2969124493","https://openalex.org/W3002376671","https://openalex.org/W3130912810","https://openalex.org/W3212320963","https://openalex.org/W4211135528","https://openalex.org/W4213454226","https://openalex.org/W4383108591","https://openalex.org/W4383109196","https://openalex.org/W4400770611","https://openalex.org/W4401414368","https://openalex.org/W4401414505"],"related_works":["https://openalex.org/W1530034981","https://openalex.org/W4320492283","https://openalex.org/W4214695225","https://openalex.org/W2783284266","https://openalex.org/W3197607994","https://openalex.org/W2373557848","https://openalex.org/W2002488624","https://openalex.org/W2088970451","https://openalex.org/W4309225183","https://openalex.org/W2157008402"],"abstract_inverted_index":{"End-effector":[0],"trajectory":[1,48,73,95],"tracking":[2,49,96],"algorithms":[3,19,50,97,102],"find":[4],"joint":[5],"motions":[6,29],"that":[7,44,68],"drive":[8],"robot":[9],"manipulators":[10],"to":[11,25,51,64],"track":[12,70],"reference":[13,72],"trajectories.":[14],"In":[15,36],"practical":[16],"scenarios,":[17],"anytime":[18,53],"are":[20],"preferred":[21],"for":[22],"their":[23,56],"ability":[24],"quickly":[26],"generate":[27],"initial":[28],"and":[30,54,58,74,98],"continuously":[31],"refine":[32],"them":[33],"over":[34],"time.":[35],"this":[37],"letter,":[38],"we":[39],"present":[40],"an":[41],"algorithmic":[42],"framework":[43,89],"adapts":[45],"common":[46],"graph-based":[47,94],"be":[52],"enhances":[55],"efficiency":[57],"effectiveness.":[59],"Our":[60],"key":[61],"insight":[62],"is":[63],"identify":[65],"guide":[66,80],"paths":[67],"approximately":[69],"the":[71,79,84,87,100],"strategically":[75],"bias":[76],"sampling":[77],"toward":[78],"paths.":[81],"We":[82],"demonstrate":[83],"effectiveness":[85],"of":[86],"proposed":[88],"by":[90],"restructuring":[91],"two":[92],"existing":[93],"evaluating":[99],"updated":[101],"in":[103],"three":[104],"experiments.":[105]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}