{"id":"https://openalex.org/W4205208836","doi":"https://doi.org/10.1109/m2vip49856.2021.9665000","title":"Vision-based Robot Handwriting Skill Reproduction and Generalization","display_name":"Vision-based Robot Handwriting Skill Reproduction and Generalization","publication_year":2021,"publication_date":"2021-11-26","ids":{"openalex":"https://openalex.org/W4205208836","doi":"https://doi.org/10.1109/m2vip49856.2021.9665000"},"language":"en","primary_location":{"id":"doi:10.1109/m2vip49856.2021.9665000","is_oa":false,"landing_page_url":"https://doi.org/10.1109/m2vip49856.2021.9665000","pdf_url":null,"source":{"id":"https://openalex.org/S4363608277","display_name":"2021 27th International Conference on Mechatronics and Machine Vision in Practice (M2VIP)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 27th International Conference on Mechatronics and Machine Vision in Practice (M2VIP)","raw_type":"proceedings-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/A5100727620","display_name":"Xian Li","orcid":"https://orcid.org/0009-0002-8129-3812"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xian Li","raw_affiliation_strings":["College of Automation Science and Engineering, South China University of Technology, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"College of Automation Science and Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025577543","display_name":"Shi\u2010Lu Dai","orcid":"https://orcid.org/0000-0002-8115-8787"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shi-Lu Dai","raw_affiliation_strings":["College of Automation Science and Engineering, South China University of Technology, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"College of Automation Science and Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019906827","display_name":"Chenguang Yang","orcid":"https://orcid.org/0000-0001-5255-5559"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chenguang Yang","raw_affiliation_strings":["College of Automation Science and Engineering, South China University of Technology, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"College of Automation Science and Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100727620"],"corresponding_institution_ids":["https://openalex.org/I90610280"],"apc_list":null,"apc_paid":null,"fwci":0.4363,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.4954955,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"469","last_page":"474"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10653","display_name":"Robot Manipulation and Learning","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10653","display_name":"Robot Manipulation and Learning","score":0.9998999834060669,"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"}},{"id":"https://openalex.org/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9979000091552734,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/T11687","display_name":"Teleoperation and Haptic Systems","score":0.9944999814033508,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical 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/handwriting","display_name":"Handwriting","score":0.9001454710960388},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.7417057752609253},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7129031419754028},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.6976831555366516},{"id":"https://openalex.org/keywords/teleoperation","display_name":"Teleoperation","score":0.6630376577377319},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6075478792190552},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.533690333366394},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.4997251033782959},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.4180346131324768},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.41581201553344727},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07641875743865967}],"concepts":[{"id":"https://openalex.org/C2779386606","wikidata":"https://www.wikidata.org/wiki/Q2393642","display_name":"Handwriting","level":2,"score":0.9001454710960388},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.7417057752609253},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7129031419754028},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.6976831555366516},{"id":"https://openalex.org/C161759796","wikidata":"https://www.wikidata.org/wiki/Q3982902","display_name":"Teleoperation","level":3,"score":0.6630376577377319},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6075478792190552},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.533690333366394},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.4997251033782959},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.4180346131324768},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.41581201553344727},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07641875743865967},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/m2vip49856.2021.9665000","is_oa":false,"landing_page_url":"https://doi.org/10.1109/m2vip49856.2021.9665000","pdf_url":null,"source":{"id":"https://openalex.org/S4363608277","display_name":"2021 27th International Conference on Mechatronics and Machine Vision in Practice (M2VIP)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 27th International Conference on Mechatronics and Machine Vision in Practice (M2VIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8399999737739563,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W2039367092","https://openalex.org/W2123967136","https://openalex.org/W2130555556","https://openalex.org/W2136719407","https://openalex.org/W2536297875","https://openalex.org/W2561378783","https://openalex.org/W2754133402","https://openalex.org/W2770612241","https://openalex.org/W2786205197","https://openalex.org/W2791542133","https://openalex.org/W2791697444","https://openalex.org/W2793295782","https://openalex.org/W2797679738","https://openalex.org/W2883972132","https://openalex.org/W2891765131","https://openalex.org/W2937820487","https://openalex.org/W2948426124","https://openalex.org/W2953151638","https://openalex.org/W2978088897","https://openalex.org/W2999783109","https://openalex.org/W3001711609","https://openalex.org/W6678157427"],"related_works":["https://openalex.org/W1923069992","https://openalex.org/W2160982102","https://openalex.org/W2048862765","https://openalex.org/W2770942502","https://openalex.org/W4281943815","https://openalex.org/W2364738582","https://openalex.org/W2388180914","https://openalex.org/W2160932924","https://openalex.org/W2082997813","https://openalex.org/W2296377172"],"abstract_inverted_index":{"Robot":[0],"skills":[1,125],"transfer":[2,64,89],"can":[3,27,121],"increase":[4],"the":[5,12,31,34,50,71,79,83,101,111,123,129,137,140,148,151],"availability":[6],"and":[7,17,65,92,109,126],"acceptability":[8],"of":[9,33,68,150],"robots.":[10],"However,":[11],"physical":[13],"contact":[14],"between":[15],"robots":[16,120],"humans":[18],"when":[19],"teaching":[20,69,117],"is":[21,38,46,75,144],"unsafe.":[22],"Teaching":[23],"based":[24],"on":[25],"teleoperation":[26],"avoid":[28],"contact,":[29],"but":[30],"requirement":[32],"extra":[35],"input":[36],"device":[37],"inconvenient.":[39],"In":[40],"this":[41],"paper,":[42],"a":[43,54],"possible":[44],"solution":[45],"provided":[47],"to":[48,60,77,146],"address":[49],"problems":[51],"by":[52,99,107],"proposing":[53],"novel":[55],"robot":[56,138],"skill":[57,63,88],"learning":[58],"framework":[59],"realize":[61],"handwriting":[62,131],"generalization.":[66],"Instead":[67],"hand-to-hand,":[70],"computer":[72],"vision":[73],"technique":[74],"utilized":[76],"recognize":[78],"human":[80,124],"motion":[81],"in":[82,104],"demonstration":[84],"stage,":[85],"which":[86],"makes":[87],"more":[90],"intuitive":[91],"natural.":[93],"This":[94],"approach":[95],"detects":[96],"continuous":[97,112],"curves":[98,113],"finding":[100],"connection":[102],"point":[103],"pictures":[105],"written":[106],"humans,":[108],"then":[110],"are":[114],"used":[115],"for":[116],"so":[118],"that":[119,136],"learn":[122],"further":[127],"generalize":[128],"learned":[130],"skills.":[132],"Finally,":[133],"an":[134],"experiment":[135],"writes":[139],"Chinese":[141],"character":[142],"\"Yang\"":[143],"conducted":[145],"validate":[147],"effectiveness":[149],"presented":[152],"approach.":[153]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}