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. |
| Keywords: | |
| Projects: |
Idiap I-DRESS DexROV |
| Authors: | |
| Added by: | [UNK] |
| Total mark: | 0 |
|
Attachments
|
|
|
|
|
Notes
|
|
|
|
|
