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Learning for Intelligent Systems in Open Environments

The ASIMOV team focuses on the interaction of robots with their environment. Our work aims to increase the autonomy of these systems, particularly in the context of manipulation tasks in complex, dynamic and partially unknown environments. The scientific aspects addressed include modeling, perception/control aspects, and the use of learning methods to solve these different problems.

Scientific issues

Modeling :
Learning :

Scientific challenges

Service robotics in open environments:

© Cyril FRÉSILLON / ISIR / CNRS Images

Scientific contact: Pascal Morin, ASIMOV team manager