logo Idiap Research Institute        
 [BibTeX] [Marc21]
Stochastic learning and control in multiple coordinate systems
Type of publication: Conference paper
Citation: Calinon_HFR_2016
Publication status: Published
Booktitle: Intl Workshop on Human-Friendly Robotics
Year: 2016
Pages: 1-5
Location: Genoa, Italy
Abstract: A probabilistic interpretation of model predictive control is presented, enabling extensions to multiple coordinate systems. The resulting controller follows a minimal intervention principle, by learning and retrieving movements through the coordination of several frames of reference. When combined with a generative model, the approach can be used in various human-robot applications that are discussed in the paper.
Projects Idiap
Authors Calinon, Sylvain
Added by: [UNK]
Total mark: 0
  • Calinon_HFR_2016.pdf