Director Prof. Philippe Gaussier
The objective is to build precise computational models of the relations between the associative areas, the hypocampus, the basal ganglia, the cerebelum and the prefrontal cortex.
The models are tested and implemented on real robots in real situations. The objective is double.
This require vision recognition, planification, autonomous control. Integration of multiple modalities.
Imitation, synchronisation, turn-taking and learning between different agents. The goal is to model cognitive behaviors and developmental process based on collaborations with psychologists.
Emotional mechanisms as:
Mathematics concepts to compare and analyse the theoritical dynamical behaviors of different control architectures. That includes both sides, the robotic side and biological side.
Perception action model (PerAc). Perception cannot be understand without action.
Development of a framework to simulate neural networks and to drive robots : Promethe
Quai branly, Paris 2012