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A System for Imitation Learning of Contact-Rich Bimanual Ma..:
, In:
2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
,
Stepputtis, Simon
;
Bandari, Maryam
;
Schaal, Stefan
. - p. 11810-11817 , 2022
Link:
https://doi.org/10.1109/IROS47612.2022.9981802
RT T1 <cTitle>2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)</cTitle>: T1 <Title>A System for Imitation Learning of Contact-Rich Bimanual Manipulation Policies</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9981802&Exemplar=1&LAN=DE A1 Stepputtis, Simon A1 Bandari, Maryam A1 Schaal, Stefan A1 Amor, Heni Ben YR 2022 SN 2153-0866 K1 Machine learning algorithms K1 Education K1 Phase estimation K1 Training data K1 Machine learning K1 Robustness K1 Task analysis SP 11810 OP 11817 LK http://dx.doi.org/https://doi.org/10.1109/IROS47612.2022.9981802 DO https://doi.org/10.1109/IROS47612.2022.9981802 SF ELIB - SuUB Bremen
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