{"id":"https://openalex.org/W4391809105","doi":"https://doi.org/10.1145/3635059.3635064","title":"Development and evaluation of Reinforcement Learning models for the FOSSBot Open-Source educational robot","display_name":"Development and evaluation of Reinforcement Learning models for the FOSSBot Open-Source educational robot","publication_year":2023,"publication_date":"2023-11-24","ids":{"openalex":"https://openalex.org/W4391809105","doi":"https://doi.org/10.1145/3635059.3635064"},"language":"en","primary_location":{"id":"doi:10.1145/3635059.3635064","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3635059.3635064","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3635059.3635064","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 27th Pan-Hellenic Conference on Progress in Computing and Informatics","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3635059.3635064","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5093926937","display_name":"George Kazazis","orcid":"https://orcid.org/0009-0009-1446-8687"},"institutions":[{"id":"https://openalex.org/I32762134","display_name":"Harokopio University of Athens","ror":"https://ror.org/02k5gp281","country_code":"GR","type":"education","lineage":["https://openalex.org/I32762134"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"George Kazazis","raw_affiliation_strings":["Harokopio University of Athens, Greece"],"raw_orcid":"https://orcid.org/0009-0009-1446-8687","affiliations":[{"raw_affiliation_string":"Harokopio University of Athens, Greece","institution_ids":["https://openalex.org/I32762134"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066444298","display_name":"Christos Chronis","orcid":"https://orcid.org/0000-0002-2768-7119"},"institutions":[{"id":"https://openalex.org/I32762134","display_name":"Harokopio University of Athens","ror":"https://ror.org/02k5gp281","country_code":"GR","type":"education","lineage":["https://openalex.org/I32762134"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Christos Chronis","raw_affiliation_strings":["Harokopio University of Athens, Greece"],"raw_orcid":"https://orcid.org/0000-0002-2768-7119","affiliations":[{"raw_affiliation_string":"Harokopio University of Athens, Greece","institution_ids":["https://openalex.org/I32762134"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004953619","display_name":"Christos Diou","orcid":"https://orcid.org/0000-0002-2461-1928"},"institutions":[{"id":"https://openalex.org/I32762134","display_name":"Harokopio University of Athens","ror":"https://ror.org/02k5gp281","country_code":"GR","type":"education","lineage":["https://openalex.org/I32762134"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Christos Diou","raw_affiliation_strings":["Harokopio University of Athens, Greece"],"raw_orcid":"https://orcid.org/0000-0002-2461-1928","affiliations":[{"raw_affiliation_string":"Harokopio University of Athens, Greece","institution_ids":["https://openalex.org/I32762134"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5056484904","display_name":"Iraklis Varlamis","orcid":"https://orcid.org/0000-0002-0876-8167"},"institutions":[{"id":"https://openalex.org/I32762134","display_name":"Harokopio University of Athens","ror":"https://ror.org/02k5gp281","country_code":"GR","type":"education","lineage":["https://openalex.org/I32762134"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Iraklis Varlamis","raw_affiliation_strings":["Harokopio University of Athens, Greece"],"raw_orcid":"https://orcid.org/0000-0002-0876-8167","affiliations":[{"raw_affiliation_string":"Harokopio University of Athens, Greece","institution_ids":["https://openalex.org/I32762134"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I32762134"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.25580167,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"26","last_page":"35"},"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/T10462","display_name":"Reinforcement Learning in Robotics","score":0.9987000226974487,"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/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9944999814033508,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive 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":0.813384473323822},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7916901111602783},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6306158304214478},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6072388291358948},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.600102961063385},{"id":"https://openalex.org/keywords/obstacle","display_name":"Obstacle","score":0.5373795032501221},{"id":"https://openalex.org/keywords/obstacle-avoidance","display_name":"Obstacle avoidance","score":0.5268208980560303},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5098280310630798},{"id":"https://openalex.org/keywords/robotics","display_name":"Robotics","score":0.4756976068019867},{"id":"https://openalex.org/keywords/collision-avoidance","display_name":"Collision avoidance","score":0.42692112922668457},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.3478951156139374},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.33895739912986755},{"id":"https://openalex.org/keywords/mobile-robot","display_name":"Mobile robot","score":0.2687399089336395},{"id":"https://openalex.org/keywords/collision","display_name":"Collision","score":0.2074032425880432},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10501176118850708}],"concepts":[{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.813384473323822},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7916901111602783},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6306158304214478},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6072388291358948},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.600102961063385},{"id":"https://openalex.org/C2776650193","wikidata":"https://www.wikidata.org/wiki/Q264661","display_name":"Obstacle","level":2,"score":0.5373795032501221},{"id":"https://openalex.org/C6683253","wikidata":"https://www.wikidata.org/wiki/Q7075535","display_name":"Obstacle avoidance","level":4,"score":0.5268208980560303},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5098280310630798},{"id":"https://openalex.org/C34413123","wikidata":"https://www.wikidata.org/wiki/Q170978","display_name":"Robotics","level":3,"score":0.4756976068019867},{"id":"https://openalex.org/C2780864053","wikidata":"https://www.wikidata.org/wiki/Q5147495","display_name":"Collision avoidance","level":3,"score":0.42692112922668457},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3478951156139374},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.33895739912986755},{"id":"https://openalex.org/C19966478","wikidata":"https://www.wikidata.org/wiki/Q4810574","display_name":"Mobile robot","level":3,"score":0.2687399089336395},{"id":"https://openalex.org/C121704057","wikidata":"https://www.wikidata.org/wiki/Q352070","display_name":"Collision","level":2,"score":0.2074032425880432},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10501176118850708},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3635059.3635064","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3635059.3635064","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3635059.3635064","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 27th Pan-Hellenic Conference on Progress in Computing and Informatics","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3635059.3635064","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3635059.3635064","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3635059.3635064","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 27th Pan-Hellenic Conference on Progress in Computing and Informatics","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4391809105.pdf","grobid_xml":"https://content.openalex.org/works/W4391809105.grobid-xml"},"referenced_works_count":15,"referenced_works":["https://openalex.org/W41554520","https://openalex.org/W2120040514","https://openalex.org/W2211144218","https://openalex.org/W2524241275","https://openalex.org/W2565555125","https://openalex.org/W2612853719","https://openalex.org/W2935428080","https://openalex.org/W2959902542","https://openalex.org/W2963428623","https://openalex.org/W3088310808","https://openalex.org/W3088314378","https://openalex.org/W3099533866","https://openalex.org/W3100789280","https://openalex.org/W3120778962","https://openalex.org/W4387831811"],"related_works":["https://openalex.org/W2930076404","https://openalex.org/W4253519380","https://openalex.org/W2071957557","https://openalex.org/W2596413128","https://openalex.org/W4391249562","https://openalex.org/W2356867392","https://openalex.org/W2913749762","https://openalex.org/W2321940404","https://openalex.org/W2782776446","https://openalex.org/W3043170174"],"abstract_inverted_index":{"Machine":[0],"learning":[1,62],"algorithms":[2,43,137,150],"play":[3],"a":[4,85,117,171,178],"crucial":[5],"role":[6],"in":[7,23,47,121],"addressing":[8],"real-world":[9,185],"tasks":[10],"by":[11],"harnessing":[12],"data-driven":[13],"insights":[14],"to":[15,36],"optimize":[16],"and":[17,41,69,79,82,110],"enhance":[18],"decision-making":[19],"processes.":[20],"Their":[21],"application":[22],"robotics":[24],"usually":[25],"relies":[26],"on":[27,75,84,93,116,128],"simulations":[28],"as":[29],"an":[30,76,106],"essential":[31],"testing":[32],"ground,":[33],"allowing":[34],"us":[35],"refine":[37],"solutions,":[38],"minimize":[39],"risks,":[40],"fine-tune":[42],"before":[44],"deploying":[45],"them":[46],"practical,":[48],"physical":[49],"environments.":[50],"In":[51],"this":[52,89],"work,":[53],"we":[54,91,114],"evaluate":[55],"the":[56,94,122,129,139,144,156,159,162,184],"performance":[57],"of":[58,119,164,174],"two":[59],"popular":[60],"reinforcement":[61],"algorithms,":[63],"namely":[64],"Proximal":[65],"Policy":[66],"Optimization":[67],"(PPO)":[68],"Deep":[70],"Q":[71],"Network":[72],"(DQN):":[73],"i)":[74],"obstacle":[77,104],"detection":[78],"avoidance":[80],"task,":[81],"ii)":[83],"navigation":[86,180],"task.":[87],"For":[88],"purpose,":[90],"rely":[92],"FOSSBot":[95,120],"open-source":[96],"educational":[97],"robot,":[98],"which":[99],"contains":[100],"ultrasonic":[101],"sensors,":[102,105],"infrared":[103],"Inertial":[107],"Measurement":[108],"Unit,":[109],"odometers.":[111],"More":[112],"specifically,":[113],"work":[115],"simulation":[118],"CoppeliaSim":[123],"environment.":[124],"The":[125],"evaluation":[126],"results":[127,160],"grid":[130],"environment":[131],"are":[132],"very":[133],"promising":[134,179],"for":[135,148,155,183],"our":[136],"since":[138],"success":[140,172],"rates":[141],"(i.e.":[142],"reaching":[143],"destination":[145],"without":[146],"collision)":[147],"both":[149],"is":[151],"above":[152],"93%.":[153],"As":[154],"simulated":[157],"environment,":[158],"show":[161],"superiority":[163],"PPO":[165,169],"over":[166],"DQN,":[167],"with":[168],"scoring":[170],"rate":[173],"74%,":[175],"making":[176],"it":[177],"algorithm":[181],"candidate":[182],"FOSSBot.":[186]},"counts_by_year":[],"updated_date":"2026-07-31T08:31:51.225901","created_date":"2025-10-10T00:00:00"}
