The platform provides tools and areas devoted to research in the following fields:
Additive manufacturing and 3D printing
The MFX (Matter From Graphics) team focuses on challenges related to shape complexity in the context of Computer Graphics and Additive Manufacturing (3D printing). The team considers the entire chain from modeling, visualization to interaction and part geometry processing before fabrication. In particular, MFX investigates how to assist engineers and designers in creating complex geometries enforcing strict fabrication, geometric and functional requirements. The research is made available through the software developed within the team, IceSL.
Computational neurosciences and neurorobotics
The Neurorhythms team focuses on a better understanding of the functioning and dysfunction of the brain as a system, essentially at the motor and memory system levels. To achieve this goal, Neurorhythms team seeks functional bridges between neurons, neuron populations, and behavior on the one hand by mathematically modeling and simulating their relationships, and on the other hand by analyzing experimental data, such as electroencephalograms.The team work focuses on specific medical applications such as general anesthesia and brain-computer interfaces, and neurorobotics applications like autonomous olfactory robots and bio-inspired controlers.
Robotics and smart environments
The team Larsen is developing methods to endow robots with long-term autonomy and interaction skills, taking into account the embedded and/or external sensors in the environment. These skills are grounded on physical and social interaction, machine learning, and planning under uncertainty. Experiments, especially in service and assistive robotics, are at the core of the methodology. The techniques will potentially impact all the robotics fields and catalyze the ongoing efforts to transfer robots into our society. Robots are already in production plants. In order to extend robotics outside of this industry and research laboratories, it is necessary to develop the robots’ autonomy and interaction skills.
Smart cyber-physical systems and Internet of things
A cyber-physical system must have a high versatility as well as a computational and communication power suited to its scale. Being compound of many heterogeneous and connected entities, the challenge is to simulate and validate experimentally modular and efficient in distributed computing cyber-physical systems. The network architectures should support real-time interactions between entities.
The Simbiot (SIMulating and Building IOT) team focuses on the study and development of these cyber-physical systems. The researchers work through co-simulation and in-situ experimentation to validate their versatility. Several projects of the team include the use of drones.
The CRAN (Research Center for Automatic Control of Nancy UMR 7039) is a partner of the Loria and the Creativ’Lab platform for some projects regarding drones.