Angelo Compierchio, Phillip Tretten, S. Oyelere, C. Karagiannis
{"title":"超级碎片分离装置远程操作辅助虚拟现实平台设计","authors":"Angelo Compierchio, Phillip Tretten, S. Oyelere, C. Karagiannis","doi":"10.54941/ahfe1002943","DOIUrl":null,"url":null,"abstract":"An assisted remote manipulation (ArM) platform has been defined for the Super\n FragmentSeparator (Super-FRS) main tunnel and hot cell at the High Energy Physics (HEP)\n Facilityof Anti-proton and Ion Research (FAIR). The designed platform positioned within\n a VirtualReality (VR) based framework ensures dynamic collaboration and effective\n humaninteraction to assist with Remote Handling (RH) operations. To visually stimulate\n operatorassisted intervention in harsh environments, enhanced interaction based on\n syntheticvision has been adapted with simultaneous localization and mapping (SLAM)\n techniquesinterlinked with virtual layers representing a three dimensional manipulation\n of RHmaintenance tasks. The proposed platform also included a sequence mapping\n toolevaluated with RH task variables specific to the sequence space analyses of\n pathplanning, motion check, and collision detection performed in both real and virtual\n RH taskenvironments. Further assistance was envisaged from multimodal feedback\n categoriesthrough force feedback, in this case, a backpropagation algorithm was tailored\n to define aforce limit and to send feedback signals to the operator every time the\n actual patternexceeded the desired output pattern. Overall, the ArM platform ensures the\n application ofbest engineering practices to RH needs as a basis to maximize information\n gathering andsharing driven by continuous improvement initiatives.","PeriodicalId":383834,"journal":{"name":"Human Interaction and Emerging Technologies (IHIET-AI 2023): Artificial\n Intelligence and Future Applications","volume":"45 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Assistive VR platform design for Telemanipulation at the Super Fragment Separator\\n Facility\",\"authors\":\"Angelo Compierchio, Phillip Tretten, S. Oyelere, C. Karagiannis\",\"doi\":\"10.54941/ahfe1002943\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"An assisted remote manipulation (ArM) platform has been defined for the Super\\n FragmentSeparator (Super-FRS) main tunnel and hot cell at the High Energy Physics (HEP)\\n Facilityof Anti-proton and Ion Research (FAIR). The designed platform positioned within\\n a VirtualReality (VR) based framework ensures dynamic collaboration and effective\\n humaninteraction to assist with Remote Handling (RH) operations. To visually stimulate\\n operatorassisted intervention in harsh environments, enhanced interaction based on\\n syntheticvision has been adapted with simultaneous localization and mapping (SLAM)\\n techniquesinterlinked with virtual layers representing a three dimensional manipulation\\n of RHmaintenance tasks. The proposed platform also included a sequence mapping\\n toolevaluated with RH task variables specific to the sequence space analyses of\\n pathplanning, motion check, and collision detection performed in both real and virtual\\n RH taskenvironments. Further assistance was envisaged from multimodal feedback\\n categoriesthrough force feedback, in this case, a backpropagation algorithm was tailored\\n to define aforce limit and to send feedback signals to the operator every time the\\n actual patternexceeded the desired output pattern. Overall, the ArM platform ensures the\\n application ofbest engineering practices to RH needs as a basis to maximize information\\n gathering andsharing driven by continuous improvement initiatives.\",\"PeriodicalId\":383834,\"journal\":{\"name\":\"Human Interaction and Emerging Technologies (IHIET-AI 2023): Artificial\\n Intelligence and Future Applications\",\"volume\":\"45 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Human Interaction and Emerging Technologies (IHIET-AI 2023): Artificial\\n Intelligence and Future Applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.54941/ahfe1002943\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Human Interaction and Emerging Technologies (IHIET-AI 2023): Artificial\n Intelligence and Future Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.54941/ahfe1002943","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Assistive VR platform design for Telemanipulation at the Super Fragment Separator
Facility
An assisted remote manipulation (ArM) platform has been defined for the Super
FragmentSeparator (Super-FRS) main tunnel and hot cell at the High Energy Physics (HEP)
Facilityof Anti-proton and Ion Research (FAIR). The designed platform positioned within
a VirtualReality (VR) based framework ensures dynamic collaboration and effective
humaninteraction to assist with Remote Handling (RH) operations. To visually stimulate
operatorassisted intervention in harsh environments, enhanced interaction based on
syntheticvision has been adapted with simultaneous localization and mapping (SLAM)
techniquesinterlinked with virtual layers representing a three dimensional manipulation
of RHmaintenance tasks. The proposed platform also included a sequence mapping
toolevaluated with RH task variables specific to the sequence space analyses of
pathplanning, motion check, and collision detection performed in both real and virtual
RH taskenvironments. Further assistance was envisaged from multimodal feedback
categoriesthrough force feedback, in this case, a backpropagation algorithm was tailored
to define aforce limit and to send feedback signals to the operator every time the
actual patternexceeded the desired output pattern. Overall, the ArM platform ensures the
application ofbest engineering practices to RH needs as a basis to maximize information
gathering andsharing driven by continuous improvement initiatives.