Making a surgeon’s gesture safer and more precise, improving the mobility of a disabled patient, completing the limb of an amputee with a bionic prosthesis, these are the objectives of the researchers of the AGATHE team. Their approach: comanipulation, when the possibilities of the Human and the robot are combined in the realization of a gesture or a task.
Equipping robots with intelligence means, among other things, enabling them to learn to interact with their environment. As physical agents, they are confronted with problems similar to those faced by living beings. As a result, within the AMAC team, researchers from complementary disciplines collaborate: artificial intelligence and modeling of living things, including computational neuroscience. On the one hand, we allow robots to adapt, learn or evolve; on the other hand, we build and validate, thanks to the robot, theories explaining certain cognitive functions of living beings.
Working on the development of statistical learning algorithms is the objective of the researchers in the MLIA team. Their work is largely motivated by developments in the application areas of Deep Learning, in particular related to the analysis of semantic data, user interactions and the modelling of complex systems in physics.
The objectives of the researchers of the IME team are to enable the manipulation of objects in digital, virtual, distant or microscopic worlds, to increase our perception of reality via visual or haptic stimuli, and to optimize multimodal interactions between a machine and the human. They produce interfaces, models and interaction scenarios for numerous applications, intended to enrich the vision of what the intelligent workshop of the future could be.
To be able to interact naturally with a human being, an avatar, whether physical or virtual, must integrate perception and communication skills that involve social interaction. The researchers of the PIRoS team are working on this with a focus on applications in the field of assistance for people with disabilities.
The main objective of the researchers of the SYROCO team is to equip high mobility robotic systems that will evolve in unfamiliar environments, with the capacity to adapt to these uncertainties. Their work is based on optimal mechanical design and automation, while integrating the numerical tools of simulation and artificial intelligence.
