Institut des Systèmes Intelligents
et de Robotique

Partenariats

UPMC

CNRS

INSERM

Tremplin CARNOT Interfaces

Labex SMART

Rechercher

AMAC


Architectures and Models for Adaptation and Cognition

 

Research goals

Our researches have two main pruposes: contributing to a better understanding of biological mechanisms in living systems; conceiving robotic control architectures aiming at improving current robots' cognitive and motor abilities by integrating learning and decision-making processes. Our primary goal is thus to design computational models of perceptual, motor and cognitive functions, and to synthetize control architectures integrating these functions
Our work is anchored on a strong inter-disciplinary interaction between computational neuroscience and engineering science tools, techniques and concepts. Biological knowledge and data are used to inspire robotic developments. Engineering science tools and methods are used as modelling, optimization and validation techniques applied on considered biological hypotheses.
 

Permanent Members
BESSIèRE Pierre Individual page
BREDECHE Nicolas Individual page
CHATILA Raja Individual page
CONINX Alexandre Individual page
delord Bruno Individual page
doncieux Stéphane Individual page
genet Stéphane Individual page
girard Benoît Individual page
guigon Emmanuel Individual page
khamassi Mehdi Individual page
sigaud Olivier Individual page
Non Permanent Members
AKLIL Nassim Individual page
CAZE Romain Individual page
CINOTTI François Individual page
DROULEZ Jacques Individual page
FOURNIER Pierre Individual page
GRIESSINGER Thibaud Individual page
JAIN Shashank Individual page
KIM Seungsu Individual page
LE GOFF Leni Individual page
LUCE-VAYRAC Pierre Individual page
MAESTRE Carlos Individual page
MUKHTAR Ghanim Individual page