Responsable : Alexandre Pitti
Developmental and Bio-inspired RoboticsThe work of the Neurocybernetic team follows 4 main axes:
The goal is to build precise computational models of the brain : relationship between associative brain areas, hippocampus, basal ganglia, cerebelum and prefrontal cortex. Models are implemented and tested on robots in real environements with the double purpose of :
- Verifying the hypothesis done on the biological models and learning from failures and impossibilities in order to correct and complete those models. This is done by the mean of many feedbacks with psychologists and neuroscientists.
- Improving the behaviors of the robots in order to make them more autonomous with a better integration with humans (robustness, interaction). The goal is to directly apply what has been learned and discover in concret and useful applications.
Neurobiological modeling of navigation and meta-control mechanismsOur modeling work aims on the one hand to improve our understanding of the neural mechanisms implemented by the mammalian brain when it is engaged in a navigation task and on the other hand to propose a neural architecture allowing a robot to navigate in real environments by exploiting different sensorimotor strategies.
More information: Autonomous navigation
Studying the emergence of social interactions.
More information: Human-robot interactions