Artificial Intelligence
Embedded neural networks: exploiting constraints
Neural Networks - Special issue on neural control and robotics: biology and technology
Understanding intelligence
An Behavior-based Robotics
Context-based vision system for place and object recognition
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Coevolution of active vision and feature selection
Biological Cybernetics
Vision: A Computational Investigation into the Human Representation and Processing of Visual Information
Rapid Biologically-Inspired Scene Classification Using Features Shared with Visual Attention
IEEE Transactions on Pattern Analysis and Machine Intelligence
Environment Classification for Indoor/Outdoor Robotic Mapping
CRV '09 Proceedings of the 2009 Canadian Conference on Computer and Robot Vision
A dynamical systems perspective on agent-environment interaction
Artificial Intelligence
Visual learning of affordance based cues
SAB'06 Proceedings of the 9th international conference on From Animals to Animats: simulation of Adaptive Behavior
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This paper presents an incremental learning mechanism to create associations between the affordances provided by the environment and its gist. The proposed model aims at helping the agent on the prioritisation of its perceptual resources, and consequently on visual attention. The focus on affordances, rather than on objects, enables a self-supervised learning mechanism without assuming the existence of symbolic object representations, thus facilitating its integration on a developmental framework. The focus on affordances also contributes to our understanding on the role of sensorimotor coordination on the organisation of adaptive behaviour. Promising results are obtained with a physical experiment on a natural environment, where a camera was handled as if it was being carried by an actual robot performing obstacle avoidance, trail following and wandering behaviours.