Towards Affordance-Based Robot Control
by Rome, Erich; Hertzberg, Joachim; Dorffner, GeorgFormat: Paperback
Pub. Date: 2008-04-03
Publisher(s): Springer-Verlag New York Inc
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Summary
The LNAI series reports state-of-the-art results in artificial intelligence research, development, and education, at a high level and in both printed and electronic form. Enjoying tight cooperation with the RD community, with numerous individuals, as well as with prestigious organizations and societies, LNAI has grown into the most comprehensive artificial intelligence research forum available.
Table of Contents
| Interpersonal Maps: How to Map Affordances for Interaction Behaviour | p. 1 |
| Does It Help a Robot Navigate to Call Navigability an Affordance? | p. 16 |
| Learning Causality and Intentional Actions | p. 27 |
| GrAM: Reasoning with Grounded Action Models by Combining Knowledge Representation and Data Mining | p. 47 |
| Affordance-Based Human-Robot Interaction | p. 63 |
| Reinforcement Learning of Predictive Features in Affordance Perception | p. 77 |
| A Functional Model for Affordance-Based Agents | p. 91 |
| Affordances in an Ecology of Physically Embedded Intelligent Systems | p. 106 |
| Use of Affordances in Geospatial Ontologies | p. 122 |
| Learning the Affordances of Tools Using a Behavior-Grounded Approach | p. 140 |
| Function-Based Reasoning for Goal-Oriented Image Segmentation | p. 159 |
| The MACS Project: An Approach to Affordance-Inspired Robot Control | p. 173 |
| Author Index | p. 211 |
| Table of Contents provided by Ingram. All Rights Reserved. |
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