Multi-sensor fusion: fundamentals and applications with software
Multi-sensor fusion: fundamentals and applications with software
Neural Networks - Special issue on organisation of computation in brain-like systems
Robust Autonomous Guidance
Modeling Sensorimotor Learning with Linear Dynamical Systems
Neural Computation
2005 Special Issue: Emotion understanding from the perspective of autonomous robots research
Neural Networks - Special issue: Emotion and brain
Adaptive mixtures of local experts
Neural Computation
Evolving the walking behaviour of a 12 DOF quadruped using a distributed neural architecture
BioADIT'06 Proceedings of the Second international conference on Biologically Inspired Approaches to Advanced Information Technology
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Novel theories have recently been proposed to try to explain higher cognitive functions as internal representations of action and perception of an embodied autonomous agent in a situated environment. A new paradigm based on tactical modularity have been developed using neural evolutionary robotics in the form of modules, called intelligent hardware units (IHUs). The new concept of a collaborative control architecture allows the construction of a behavior-based system as a result of interactions between the control system and both the external and internal environments generated by the modules. The full separation achieved between the inner world of the autonomous agent and the real external world gives some insight into how the mind-body problem can be solved. An experiment on a two-sensor, two-motor simulated robot orbiting around an object illustrates the performance of the proposed paradigm and lead to discussion of concepts in the robot's inner world.