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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Bibliographic Details
Published in:	Autonomous robots Vol. 42; no. 3; pp. 529 - 551
Main Authors:	Paraschos, Alexandros, Daniel, Christian, Peters, Jan, Neumann, Gerhard
Format:	Journal Article
Language:	English
Published:	New York Springer US 01.03.2018 Springer Nature B.V
Subjects:	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
Online Access:	Get full text
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