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1 Ergebnisse
1
Generating Manipulation Sequences using Reinforcement Learn..:
, In:
2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC)
,
Xu, Jiahua
;
Lin, Yunhan
;
Zhou, Haotian
. - p. 2715-2720 , 2022
Link:
https://doi.org/10.1109/SMC53654.2022.9945269
RT T1
2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC)
: T1
Generating Manipulation Sequences using Reinforcement Learning and Behavior Trees for Peg-In-Hole Task
UL https://suche.suub.uni-bremen.de/peid=ieee-9945269&Exemplar=1&LAN=DE A1 Xu, Jiahua A1 Lin, Yunhan A1 Zhou, Haotian A1 Min, Huasong YR 2022 SN 2577-1655 K1 Adaptation models K1 Heuristic algorithms K1 Reinforcement learning K1 Sensor systems K1 Behavioral sciences K1 Sensors K1 Task analysis K1 reinforcement learning K1 robotic manipulation primitives K1 peg-in-hole K1 behavior trees SP 2715 OP 2720 LK http://dx.doi.org/https://doi.org/10.1109/SMC53654.2022.9945269 DO https://doi.org/10.1109/SMC53654.2022.9945269 SF ELIB - SuUB Bremen
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