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1 Ergebnisse
1
SLHAP : Simultaneous Learning of Hierarchy and Primitive:
, In:
Proceedings of the Companion of the 2017 ACM/IEEE International Conference on Human-Robot Interaction
,
Mohseni-Kabir, Anahita
;
Li, Changshuo
;
Wu, Victoria
... - p. 412 ff. , 2017
Link:
https://dl.acm.org/doi/10.1145/3029798.3036641
RT T1
Proceedings of the Companion of the 2017 ACM/IEEE International Conference on Human-Robot Interaction
: T1
SLHAP : Simultaneous Learning of Hierarchy and Primitives
UL https://suche.suub.uni-bremen.de/peid=acm-3036641&Exemplar=1&LAN=DE A1 Mohseni-Kabir, Anahita A1 Li, Changshuo A1 Wu, Victoria A1 Miller, Daniel A1 Hylak, Benjamin A1 Chernova, Sonia A1 Berenson, Dmitry A1 Sidner, Candace A1 Rich, Charles PB ACM YR 2017 K1 hierarchical task networks K1 human robot interaction K1 learning by instructions K1 learning from demonstration K1 Human-centered computing K1 Human computer interaction (HCI) K1 Interaction paradigms K1 Collaborative interaction K1 Computer systems organization K1 Embedded and cyber-physical systems K1 Robotics K1 Robotic autonomy K1 Computing methodologies K1 Machine learning K1 Learning settings K1 Learning from demonstrations SP 412 ff. LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3029798.3036641 DO https://dl.acm.org/doi/10.1145/3029798.3036641 SF ELIB - SuUB Bremen
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