Learning and Execution of Object Manipulation Tasks on Humanoid Robots
Equipping robots with complex capabilities still requires a great amount of effort. In this work, a novel approach is proposed to understand, to represent and to execute object manipulation tasks learned from observation by combining methods of data analysis, graphical modeling and artificial intell...
Enregistré dans:
| Auteur principal: | |
|---|---|
| Format: | Électronique Chapitre de livre |
| Langue: | anglais |
| Publié: |
KIT Scientific Publishing
2018
|
| Collection: | Karlsruhe Series on Humanoid Robotics
|
| Sujets: | |
| Accès en ligne: | DOAB: download the publication DOAB: description of the publication |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
| Résumé: | Equipping robots with complex capabilities still requires a great amount of effort. In this work, a novel approach is proposed to understand, to represent and to execute object manipulation tasks learned from observation by combining methods of data analysis, graphical modeling and artificial intelligence. Employing this approach enables robots to reason about how to solve tasks in dynamic environments and to adapt to unseen situations. |
|---|---|
| Description matérielle: | 1 electronic resource (X, 236 p. p.) |
| ISBN: | KSP/1000078313 9783731507499 |
| Accès: | Open Access |