Learning Control
| Type of publication: | Book chapter |
| Citation: | Calinon_SPRINGER_2019a |
| Booktitle: | Humanoid Robotics: a Reference |
| Year: | 2019 |
| Pages: | 1261-1312 |
| Publisher: | Springer |
| URL: | https://doi.org/10.1007/978-94... |
| DOI: | 10.1007/978-94-007-7194-9_68-2 |
| Abstract: | This chapter presents an overview of learning approaches for the acquisition of controllers and movement skills in humanoid robots. The term learning control refers to the process of acquiring a control strategy to achieve a task. While the definition is in some cases restrained to trial-and-error learning, we present here learning control in a broader perspective, with a focus on the representation of skills to be acquired, and on the different learning strategies that can contribute to the acquisition of robust and adaptive controllers for humanoids. |
| Keywords: | |
| Projects: |
Idiap |
| Authors: | |
| Editors | |
| Added by: | [UNK] |
| Total mark: | 0 |
|
Attachments
|
|
|
Notes
|
|
|
|
|