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conference paper not in proceedings
Stochastic learning and control in multiple coordinate systems
2016
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.
Type
conference paper not in proceedings
Authors
Publication date
2016
EPFL units
Event name | Event place |
Genoa, Italy | |
Available on Infoscience
December 19, 2016
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