乐胖代购免代理版

{"id":"https://openalex.org/W2995978297","doi":"https://doi.org/10.1109/acirs.2019.8935944","title":"Deep Reinforcement Learning for Mobile Robot Navigation","display_name":"Deep Reinforcement Learning for Mobile Robot Navigation","publication_year":2019,"publication_date":"2019-07-01","ids":{"openalex":"https://openalex.org/W2995978297","doi":"https://doi.org/10.1109/acirs.2019.8935944","mag":"2995978297"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/acirs.2019.8935944","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"proceedings-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/A5066789231","display_name":"Martin Gromniak","orcid":"https://orcid.org/0000-0002-6602-8685"},"institutions":[{"id":"https://openalex.org/I884043246","display_name":"Hamburg University of Technology","ror":"https://ror.org/04bs1pb34","country_code":"DE","type":"education","lineage":["https://openalex.org/I884043246"]},{"id":"https://openalex.org/I159176309","display_name":"Universit\u00e4t Hamburg","ror":"https://ror.org/00g30e956","country_code":"DE","type":"funder","lineage":["https://openalex.org/I159176309"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Martin Gromniak","raw_affiliation_strings":["Institute of Medical Technology, Technical University of Hamburg, Hamburg, Germany"],"affiliations":[{"raw_affiliation_string":"Institute of Medical Technology, Technical University of Hamburg, Hamburg, Germany","institution_ids":["https://openalex.org/I884043246","https://openalex.org/I159176309"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109409131","display_name":"Jonas Stenzel","orcid":null},"institutions":[{"id":"https://openalex.org/I4210098062","display_name":"Fraunhofer Institute for Material Flow and Logistics","ror":"https://ror.org/00z7dje19","country_code":"DE","type":"facility","lineage":["https://openalex.org/I4210098062","https://openalex.org/I4923324"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Jonas Stenzel","raw_affiliation_strings":["Department of Automation and Embedded Systems, Fraunhofer Institute for Material Flow and Logistics, Dortmund, Germany"],"affiliations":[{"raw_affiliation_string":"Department of Automation and Embedded Systems, Fraunhofer Institute for Material Flow and Logistics, Dortmund, Germany","institution_ids":["https://openalex.org/I4210098062"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.704,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.765825,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":83,"max":84},"biblio":{"volume":null,"issue":null,"first_page":"68","last_page":"73"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10462","display_name":"Reinforcement Learning in Robotics","score":0.9999,"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"}},"topics":[{"id":"https://openalex.org/T10462","display_name":"Reinforcement Learning in Robotics","score":0.9999,"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/T10586","display_name":"Robotic Path Planning Algorithms","score":0.9991,"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/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9877,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/mobile-robot-navigation","display_name":"Mobile Robot Navigation","score":0.54410577},{"id":"https://openalex.org/keywords/holonomic","display_name":"Holonomic","score":0.53369987},{"id":"https://openalex.org/keywords/behavior-based-robotics","display_name":"Behavior-based robotics","score":0.4290511}],"concepts":[{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.8515308},{"id":"https://openalex.org/C19966478","wikidata":"https://www.wikidata.org/wiki/Q4810574","display_name":"Mobile robot","level":3,"score":0.76239085},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.6817849},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6483385},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6454214},{"id":"https://openalex.org/C34413123","wikidata":"https://www.wikidata.org/wiki/Q170978","display_name":"Robotics","level":3,"score":0.61427265},{"id":"https://openalex.org/C188888258","wikidata":"https://www.wikidata.org/wiki/Q7353390","display_name":"Robot learning","level":4,"score":0.5734167},{"id":"https://openalex.org/C26990112","wikidata":"https://www.wikidata.org/wiki/Q6887224","display_name":"Mobile robot navigation","level":5,"score":0.54410577},{"id":"https://openalex.org/C2777964439","wikidata":"https://www.wikidata.org/wiki/Q5884201","display_name":"Holonomic","level":2,"score":0.53369987},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4800935},{"id":"https://openalex.org/C39920418","wikidata":"https://www.wikidata.org/wiki/Q11476","display_name":"Kinematics","level":2,"score":0.4777174},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.4424043},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.44029018},{"id":"https://openalex.org/C65401140","wikidata":"https://www.wikidata.org/wiki/Q7353385","display_name":"Robot control","level":4,"score":0.43292618},{"id":"https://openalex.org/C19766214","wikidata":"https://www.wikidata.org/wiki/Q4880688","display_name":"Behavior-based robotics","level":4,"score":0.4290511},{"id":"https://openalex.org/C74222875","wikidata":"https://www.wikidata.org/wiki/Q16000312","display_name":"Robot kinematics","level":4,"score":0.41465348},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C74650414","wikidata":"https://www.wikidata.org/wiki/Q11397","display_name":"Classical mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/acirs.2019.8935944","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[],"grants":[],"datasets":[],"versions":[],"referenced_works_count":16,"referenced_works":["https://openalex.org/W1569296262","https://openalex.org/W1757796397","https://openalex.org/W1777239053","https://openalex.org/W2131600418","https://openalex.org/W2176412452","https://openalex.org/W2194775991","https://openalex.org/W2257979135","https://openalex.org/W2586073474","https://openalex.org/W2736601468","https://openalex.org/W2766447205","https://openalex.org/W2768629321","https://openalex.org/W2787259794","https://openalex.org/W2949650786","https://openalex.org/W2963285578","https://openalex.org/W2964043796","https://openalex.org/W4298857966"],"related_works":["https://openalex.org/W3091498484","https://openalex.org/W2724299411","https://openalex.org/W2606609736","https://openalex.org/W2493438666","https://openalex.org/W2126436266","https://openalex.org/W2124341319","https://openalex.org/W2113226229","https://openalex.org/W2104030031","https://openalex.org/W2101286551","https://openalex.org/W1624797877"],"abstract_inverted_index":{"While":[0],"navigation":[1,46],"is":[2],"arguable":[3],"the":[4,30,34,38,56,68,104,116,118,124,130],"most":[5],"important":[6],"aspect":[7],"of":[8,19,40,58,64,129],"mobile":[9],"robotics,":[10],"complex":[11],"scenarios":[12],"with":[13,17,110],"dynamic":[14],"environments":[15],"or":[16],"teams":[18],"cooperative":[20],"robots":[21],"are":[22],"still":[23],"not":[24],"satisfactory":[25],"solved":[26],"yet.":[27],"Motivated":[28],"by":[29],"recent":[31],"successes":[32],"in":[33,49,103,115,127],"reinforcement":[35,42],"learning":[36,43],"domain,":[37],"application":[39],"deep":[41],"to":[44,67,122],"robot":[45,97,119],"was":[47,80,120],"examined":[48],"this":[50,54],"paper.":[51],"In":[52,106],"particular":[53],"required":[55],"development":[57],"a":[59,62,70,75,83,107],"training":[60],"procedure,":[61],"set":[63],"actions":[65],"available":[66],"robot,":[69],"suitable":[71],"state":[72],"representation":[73],"and":[74,94],"reward":[76],"function.":[77],"The":[78],"setup":[79],"evaluated":[81],"using":[82],"simulated":[84],"real-time":[85],"environment.":[86],"A":[87],"reference":[88],"setup,":[89],"different":[90,96],"goal-oriented":[91],"exploration":[92],"strategies":[93],"two":[95],"kinematics":[98],"(holonomic,":[99],"differential)":[100],"were":[101],"compared":[102],"evaluation.":[105],"challenging":[108],"scenario":[109],"obstacles":[111],"at":[112],"changing":[113],"locations":[114],"environment":[117],"able":[121],"reach":[123],"desired":[125],"goal":[126],"93%":[128],"episodes.":[131]},"abstract_inverted_index_v3":null,"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W2995978297","counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":2}],"updated_date":"2025-04-20T14:59:33.599959","created_date":"2019-12-26"}