{"id":"https://openalex.org/W4402352461","doi":"https://doi.org/10.1109/ijcnn60899.2024.10650416","title":"Autonomous Navigation of Agricultural Robots Utilizing Path Points and Deep Reinforcement Learning","display_name":"Autonomous Navigation of Agricultural Robots Utilizing Path Points and Deep Reinforcement Learning","publication_year":2024,"publication_date":"2024-06-30","ids":{"openalex":"https://openalex.org/W4402352461","doi":"https://doi.org/10.1109/ijcnn60899.2024.10650416"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn60899.2024.10650416","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn60899.2024.10650416","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5113373685","display_name":"Jipeng Kang","orcid":null},"institutions":[{"id":"https://openalex.org/I2722730","display_name":"Inner Mongolia University","ror":"https://ror.org/0106qb496","country_code":"CN","type":"education","lineage":["https://openalex.org/I2722730"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jipeng Kang","raw_affiliation_strings":["Inner Mongolia University,Key Laboratory of Wireless Networks and Mobile Computing, School of Computer Science,Hohhot,China,010021"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Inner Mongolia University,Key Laboratory of Wireless Networks and Mobile Computing, School of Computer Science,Hohhot,China,010021","institution_ids":["https://openalex.org/I2722730"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100370011","display_name":"Zhibin Zhang","orcid":"https://orcid.org/0000-0002-1453-1393"},"institutions":[{"id":"https://openalex.org/I2722730","display_name":"Inner Mongolia University","ror":"https://ror.org/0106qb496","country_code":"CN","type":"education","lineage":["https://openalex.org/I2722730"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhibin Zhang","raw_affiliation_strings":["Inner Mongolia University,Key Laboratory of Wireless Networks and Mobile Computing, School of Computer Science,Hohhot,China,010021"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Inner Mongolia University,Key Laboratory of Wireless Networks and Mobile Computing, School of Computer Science,Hohhot,China,010021","institution_ids":["https://openalex.org/I2722730"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102498447","display_name":"Yajie Liang","orcid":null},"institutions":[{"id":"https://openalex.org/I2722730","display_name":"Inner Mongolia University","ror":"https://ror.org/0106qb496","country_code":"CN","type":"education","lineage":["https://openalex.org/I2722730"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yajie Liang","raw_affiliation_strings":["Inner Mongolia University,Key Laboratory of Wireless Networks and Mobile Computing, School of Computer Science,Hohhot,China,010021"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Inner Mongolia University,Key Laboratory of Wireless Networks and Mobile Computing, School of Computer Science,Hohhot,China,010021","institution_ids":["https://openalex.org/I2722730"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100385685","display_name":"Xu Chen","orcid":"https://orcid.org/0000-0001-9434-5891"},"institutions":[{"id":"https://openalex.org/I2722730","display_name":"Inner Mongolia University","ror":"https://ror.org/0106qb496","country_code":"CN","type":"education","lineage":["https://openalex.org/I2722730"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xu Chen","raw_affiliation_strings":["Inner Mongolia University,Key Laboratory of Wireless Networks and Mobile Computing, School of Computer Science,Hohhot,China,010021"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Inner Mongolia University,Key Laboratory of Wireless Networks and Mobile Computing, School of Computer Science,Hohhot,China,010021","institution_ids":["https://openalex.org/I2722730"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I2722730"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10586","display_name":"Robotic Path Planning Algorithms","score":0.9991999864578247,"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":0.9991999864578247,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.991100013256073,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/T13382","display_name":"Robotics and Automated Systems","score":0.9894999861717224,"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/reinforcement-learning","display_name":"Reinforcement learning","score":0.8317850828170776},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.6918489933013916},{"id":"https://openalex.org/keywords/path","display_name":"Path (computing)","score":0.5890998840332031},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5883420705795288},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.578129768371582},{"id":"https://openalex.org/keywords/mobile-robot","display_name":"Mobile robot","score":0.5004935264587402},{"id":"https://openalex.org/keywords/motion-planning","display_name":"Motion planning","score":0.4581742286682129},{"id":"https://openalex.org/keywords/agriculture","display_name":"Agriculture","score":0.4220939874649048},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3609431982040405},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.1307436227798462},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.05941775441169739}],"concepts":[{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.8317850828170776},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.6918489933013916},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.5890998840332031},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5883420705795288},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.578129768371582},{"id":"https://openalex.org/C19966478","wikidata":"https://www.wikidata.org/wiki/Q4810574","display_name":"Mobile robot","level":3,"score":0.5004935264587402},{"id":"https://openalex.org/C81074085","wikidata":"https://www.wikidata.org/wiki/Q366872","display_name":"Motion planning","level":3,"score":0.4581742286682129},{"id":"https://openalex.org/C118518473","wikidata":"https://www.wikidata.org/wiki/Q11451","display_name":"Agriculture","level":2,"score":0.4220939874649048},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3609431982040405},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.1307436227798462},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.05941775441169739},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn60899.2024.10650416","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn60899.2024.10650416","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/2","score":0.699999988079071,"display_name":"Zero hunger"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322216","display_name":"Inner Mongolia University","ror":"https://ror.org/0106qb496"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W2884565639","https://openalex.org/W2891234582","https://openalex.org/W2904246096","https://openalex.org/W2973229164","https://openalex.org/W3005881695","https://openalex.org/W3016718773","https://openalex.org/W3018656899","https://openalex.org/W3120538221","https://openalex.org/W3172449912","https://openalex.org/W3196603038","https://openalex.org/W4223607701","https://openalex.org/W4226300900","https://openalex.org/W4249898853","https://openalex.org/W4285110901","https://openalex.org/W4294691337","https://openalex.org/W4295124820","https://openalex.org/W4297964528","https://openalex.org/W4313472051","https://openalex.org/W4313483721","https://openalex.org/W4321608124","https://openalex.org/W4361199789","https://openalex.org/W4362594060","https://openalex.org/W4377968402","https://openalex.org/W4385741291","https://openalex.org/W4385753229","https://openalex.org/W4388088248","https://openalex.org/W4388761637","https://openalex.org/W4391621220","https://openalex.org/W4396835205","https://openalex.org/W6753516098","https://openalex.org/W6757592117","https://openalex.org/W6842326708","https://openalex.org/W6848035357"],"related_works":["https://openalex.org/W2122871747","https://openalex.org/W1904098742","https://openalex.org/W3158921809","https://openalex.org/W3114279067","https://openalex.org/W2161428574","https://openalex.org/W2077416514","https://openalex.org/W2618632915","https://openalex.org/W2359600231","https://openalex.org/W4292862729","https://openalex.org/W2380019117"],"abstract_inverted_index":{"When":[0],"using":[1],"deep":[2,66],"reinforcement":[3,67],"learning":[4,68],"algorithms":[5,69],"for":[6],"reactive":[7,134],"navigation,":[8],"it":[9,233],"is":[10,35,230],"common":[11],"to":[12,70,74,120,161,189,193,209,252],"encounter":[13],"situations":[14],"where":[15],"the":[16,31,39,72,105,109,116,122,125,150,154,159,168,177,187,199,220,224],"agent":[17],"gets":[18],"stuck":[19],"in":[20,44,108,133,144,217,223],"a":[21,84,91,145],"local":[22,130,140],"optimum.":[23],"In":[24],"autonomous":[25],"exploration":[26,32],"without":[27,191],"any":[28],"prior":[29,196,245],"knowledge,":[30],"of":[33,83,176,205],"environments":[34],"often":[36],"suboptimal.":[37],"Moreover,":[38],"agricultural":[40],"robots":[41],"performing":[42],"tasks":[43],"farm":[45,77],"fields":[46],"face":[47],"even":[48],"more":[49],"great":[50],"challenges.":[51],"To":[52],"address":[53],"this,":[54],"we":[55],"propose":[56],"an":[57],"Agricultural":[58],"Robot":[59],"Autonomous":[60],"Exploration":[61],"System":[62],"(ARAES)":[63],"that":[64,228],"uses":[65],"drive":[71],"robot":[73,123,160,188,221],"explore":[75],"unknown":[76],"environments.":[78,211],"The":[79,97,136,174],"whole":[80],"system":[81,179],"consists":[82],"Global":[85],"Path":[86,93],"Planning":[87,94],"(GPP)":[88],"module":[89,99,138],"and":[90,111,171,183,201,240,247],"Local":[92],"(LPP)":[95],"module.":[96],"GPP":[98],"utilizes":[100],"path":[101,118,169],"points":[102,119,170],"acquired":[103],"along":[104],"heading":[106],"direction":[107],"environment":[110,200,242],"selects":[112],"waypoints":[113],"based":[114,166],"on":[115,167,237],"collected":[117],"guide":[121],"towards":[124,163],"global":[126,164],"goal,":[127],"effectively":[128],"alleviating":[129],"optima":[131],"issues":[132],"navigation.":[135],"LPP":[137],"learns":[139],"navigation":[141,206],"motion":[142,155],"policies":[143,152,207],"simulated":[146],"environment.":[147,225],"It":[148],"incorporates":[149],"learned":[151],"into":[153],"planning":[156],"stack,":[157],"enabling":[158,202],"move":[162],"goals":[165],"way":[172],"points.":[173],"advantages":[175],"ARAES":[178,213,229],"are":[180],"its":[181],"autonomy":[182],"real-time":[184,203,218],"performance,":[185],"allowing":[186],"operate":[190],"needing":[192],"know":[194],"detailed":[195],"information":[197,246],"about":[198],"adjustments":[204],"according":[208],"current":[210],"Meanwhile,":[212],"can":[214],"construct":[215],"maps":[216,243],"as":[219],"moves":[222],"Experiments":[226],"demonstrate":[227],"advantageous":[231],"because":[232],"does":[234],"not":[235],"rely":[236],"complex":[238],"static":[239],"dynamic":[241],"or":[244],"delivers":[248],"superior":[249],"performance":[250],"compared":[251],"other":[253],"methods.":[254]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}