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Document type:
Konferenzbeitrag 
Contribution type:
Textbeitrag / Aufsatz 
Author(s):
Y. Fanger; J. Umlauft; S. Hirche 
Title:
Gaussian Processes for Dynamic Movement Primitives with Application in Knowledge-based Cooperation 
Abstract:
Dynamic Movement Primitives (DMPs) represent stable goal-directed or periodic movements, which are learned from observations or demonstrations. They rely on proper function approximators, which are sufficiently flexible to represent arbitrary movements but also ensure goal convergence in pointto- point motions. This work shows that Gaussian Processes (GPs) are suitable as a regressor for learning movements with DMPs ensuring stability. In addition, GPs provide a measure for the uncertainty about...    »
 
Keywords:
conhumo 
Editor:
IEEE 
Book / Congress title:
International Conference on Intelligent Robots and Systems (IROS) 
Year:
2016 
Year / month:
2016-10 
Month:
Oct 
Pages:
Reviewed:
ja 
Language:
en 
TUM Institution:
Lehrstuhl für Informationstechnische Regelung (Prof. Hirche)