Using probabilistic movement primitives in robotics

Movement Primitives are a well-established paradigm for modular movement representation and generation. They provide a data-driven representation of movements and support generalization to novel situations, temporal modulation, sequencing of primitives and controllers for executing the primitive on...

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Vydané v:	Autonomous robots Ročník 42; číslo 3; s. 529 - 551
Hlavní autori:	Paraschos, Alexandros, Daniel, Christian, Peters, Jan, Neumann, Gerhard
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York Springer US 01.03.2018 Springer Nature B.V
Predmet:	Artificial Intelligence Computer Imaging Computer simulation Control Engineering Feedback control Mechatronics Pattern Recognition and Graphics Probability theory Representations Robotics Robotics and Automation Robots Vision Control Movement primitives Trajectory representation Imitation learning Robotics
ISSN:	0929-5593, 1573-7527
On-line prístup:	Získať plný text
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