Noceti, N and Caputo, B and Castellini, C and Baldassarre, L and Barla, A and Rosasco, L and Odone, F and Sandini, G (2009) Towards a Theoretical Framework for Learning Multi-modal Patterns for Embodied Agents. In: Foggia, P and Sansone, C and Vento, M, (eds.) IMAGE ANALYSIS AND PROCESSING - ICIAP 2009, PROCEEDINGS. (pp. 239 - 248). SPRINGER-VERLAG BERLIN
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Abstract
Multi-modality is a fundamental feature that characterizes biological systems and lets them achieve high robustness in understanding skills while coping with uncertainty. Relatively recent studies showed that multi-modal learning is a potentially effective add-on to artificial systems, allowing the transfer of information from one modality to another. In this paper we propose a general architecture for jointly learning visual and motion patterns: by means of regression theory we model a mapping between the two sensorial modalities improving the performance of artificial perceptive systems. We present promising results on a case study of grasp classification in a controlled setting and discuss future developments.
| Type: | Proceedings paper |
|---|---|
| Title: | Towards a Theoretical Framework for Learning Multi-modal Patterns for Embodied Agents |
| Event: | 15th International Conference on Image Analysis and Processing (ICIAP 2009) |
| Location: | Vietri sul Mare, ITALY |
| Dates: | 2009-09-08 - 2009-09-11 |
| ISBN-13: | 978-3-642-04145-7 |
| Keywords: | multi-modality, visual and sensor-motor patterns, regression theory, behavioural model, objects and actions recognition, SCALE |
| UCL classification: | UCL > School of BEAMS > Faculty of Engineering Science > Computer Science |
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