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Toward Robotic Socially Believable Behaving Systems - Volume II
Details
This volume presents a collection of research studies on sophisticated and functional computational instruments able to recognize, process, and store relevant situated interactional signals, as well as, interact with people, displaying reactions (under conditions of limited time) that show abilities of appropriately sensing and understanding environmental changes, producing suitable, autonomous, and adaptable responses to various social situations. These social robotic autonomous systems will improve the quality of life of their end-users while assisting them on several needs, ranging from educational settings, health care assistance, communicative disorders, and any disorder impairing either their physical, cognitive, or social functional activities. The multidisciplinary themes presented in the volume will be interesting for experts and students coming from different research fields and with different knowledge and backgrounds. The research reported is particularly relevant for academic centers, and Research & Development Institutions.
Presents the development of a computational paradigm producing machines equipped with human level automaton intelligence Provides experimental and theoretical models on social signals Presents recent research Includes supplementary material: sn.pub/extras
Inhalt
Moving Robots from Industrial Sectors to Domestic Spheres: A Foreword.- Modeling Social Signals and Contexts in Robotic Socially Believable Behaving ****Systems.
Weitere Informationen
- Allgemeine Informationen
- GTIN 09783319310527
- Genre Technology Encyclopedias
- Auflage 1st edition 2016
- Editor Anna Esposito, Lakhmi C. Jain
- Lesemotiv Verstehen
- Anzahl Seiten 224
- Herausgeber Springer
- Größe H241mm x B160mm x T18mm
- Jahr 2016
- EAN 9783319310527
- Format Fester Einband
- ISBN 3319310526
- Veröffentlichung 08.04.2016
- Titel Toward Robotic Socially Believable Behaving Systems - Volume II
- Untertitel Modeling Social Signals
- Gewicht 506g
- Sprache Englisch