Machine learning and robot perception
This book presents some of the most recent research results in the area of machine learning and robot perception. The chapters represent new ways of solving real-world problems. The book covers topics such as intelligent object detection, foveated vision systems, online learning paradigms, reinforce...
Guardado en:
| Otros Autores: | , , , |
|---|---|
| Formato: | Livre numérique |
| Lenguaje: | Anglais |
| Publicado: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
[20..].
Cham : Springer Nature |
| Colección: | Studies in Computational Intelligence
7 |
| Acceso en línea: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Nota: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Machine Learning and Robot Perception, Texte imprimé, 9783540265498 • Machine Learning and Robot Perception, Texte imprimé, 9783642065866 • Machine Learning and Robot Perception, Texte imprimé, 9783540812395 |
Tabla de Contenidos:
- Learning Visual Landmarks for Mobile Robot Topological Navigation
- Foveated Vision Sensor and Image Processing - A Review
- On-line Model Learning for Mobile Manipulations
- Continuous Reinforcement Learning Algorithm for Skills Learning in an Autonomous Mobile Robot
- Efficient Incorporation of Optical Flow into Visual Motion Estimation in Tracking
- 3-D Modeling of Real-World Objects Using Range and Intensity Images
- Perception for Human Motion Understanding
- Cognitive User Modeling Computed by a Proposed Dialogue Strategy Based on an Inductive Game Theory.