@inproceedings{
 title = {A Digital Twin for Human-Robot Interaction},
 type = {inproceedings},
 year = {2019},
 pages = {372},
 websites = {https://researchportal.hw.ac.uk/files/24324308/19pairet2019digital.pdf},
 publisher = {IEEE},
 city = {United States},
 series = {ACM/IEEE International Conference on Human-Robot Interaction (HRI)},
 id = {3b16fa73-8788-3206-8255-e016ab7ed613},
 created = {2019-05-05T09:27:01.043Z},
 file_attached = {false},
 profile_id = {6919a74e-8edb-323a-9369-0557c14627b3},
 group_id = {118d2517-6dec-3d1f-b25a-034b479487da},
 last_modified = {2019-05-05T09:28:54.288Z},
 read = {false},
 starred = {false},
 authored = {false},
 confirmed = {true},
 hidden = {false},
 citation_key = {b0d8b0eda15840bc9ff0d0a0285b1fbe},
 source_type = {inproceedings},
 private_publication = {false},
 abstract = {To avoid putting humans at risk, there is an im-minent need to pursue autonomous robotized facilities withmaintenance capabilities in the energy industry. This paperpresents a video of the ORCA Hub simulator, a frameworkthat unifies three types of autonomous systems (Husky, ANYmaland UAVs) on an offshore platform digital twin for training andtesting human-robot collaboration scenarios, such as inspectionand emergency response.},
 bibtype = {inproceedings},
 author = {Pairet, Èric and Ardon, Paola and Liu, Xingkun and Lopes, Jose and Hastie, Helen and Lohan, Katrin Solveig},
 doi = {10.1109/HRI.2019.8673015},
 booktitle = {2019 14th ACM/IEEE International Conference on Human-Robot Interaction (HRI)}
}

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