%0 Journal Article %1 richardson2022learning %A Richardson, Benjamin A. %A Vardar, Yasemin %A Wallraven, Christian %A Kuchenbecker, Katherine J. %D 2022 %I IEEE %J IEEE transactions on haptics %K %N 4 %P 705-717 %R 10.1109/TOH.2022.3212701 %T Learning to Feel Textures : Predicting Perceptual Similarities From Unconstrained Finger-Surface Interactions %V 15

@article{richardson2022learning, added-at = {2023-07-04T14:06:18.000+0200}, affiliation = {Richardson, BA (Corresponding Author), Univ Stuttgart, Max Planck Inst Intelligent Syst, Hapt Intelligence Dept, D-70569 Stuttgart, Germany. Richardson, BA (Corresponding Author), Univ Stuttgart, Comp Sci Dept, D-70569 Stuttgart, Germany. Richardson, Benjamin A., Univ Stuttgart, Max Planck Inst Intelligent Syst, Hapt Intelligence Dept, D-70569 Stuttgart, Germany. Richardson, Benjamin A., Univ Stuttgart, Comp Sci Dept, D-70569 Stuttgart, Germany. Vardar, Yasemin, Delft Univ Technol, Dept Cognit Robot, NL-2628 Delft, Netherlands. Wallraven, Christian, Korea Univ, Dept Artificial Intelligence, Seoul 02841, South Korea. Wallraven, Christian, Korea Univ, Dept Brain & Cognit Engn, Seoul 02841, South Korea. Kuchenbecker, Katherine J., Max Planck Inst Intelligent Syst, Hapt Intelligence Dept, D-70569 Stuttgart, Germany.}, author = {Richardson, Benjamin A. and Vardar, Yasemin and Wallraven, Christian and Kuchenbecker, Katherine J.}, biburl = {https://puma.ub.uni-stuttgart.de/bibtex/2d7d2b7cc30e47eaa466da888d8f885aa/unibiblio}, doi = {10.1109/TOH.2022.3212701}, interhash = {d44120d69d125f389b74690a1cf49e7d}, intrahash = {d7d2b7cc30e47eaa466da888d8f885aa}, issn = {{1939-1412} and {2329-4051}}, journal = {IEEE transactions on haptics}, keywords = {}, language = {eng}, number = 4, orcid-numbers = {Wallraven, Christian/0000-0002-2604-9115 Vardar, Yasemin/0000-0003-2156-1504 Kuchenbecker, Katherine J./0000-0002-5004-0313 Richardson, Ben/0000-0002-9432-6997}, pages = {705-717}, publisher = {IEEE}, research-areas = {Computer Science}, timestamp = {2023-07-04T14:07:13.000+0200}, title = {Learning to Feel Textures : Predicting Perceptual Similarities From Unconstrained Finger-Surface Interactions}, unique-id = {WOS:000902096100005}, volume = 15, year = 2022 }