Robotic systems

To create smart robots, development work in mechatronics, control, computer science and perirobotics must be carried out in a coordinated and unified manner.

Diagnostics and prognostics

Measurement, data analysis, simulation, and machine learning are vital to understanding industrial processes, predicting their performance, and automating decision making.

Architectures and software

The widespread adoption of smart robotics will depend on robotic functions that are easy to reuse and adapt to new systems and situations.

Optimized, interoperable models

Simulation is making inroads into all aspects of industrial processes, making optimized, interoperable models a key issue.

Multi-sensor and multi-mode technologies

CEA-List is developing multi-sensor and multi-mode technologies for the analysis of large manufactured parts and continuous measurement.

Digital instrumentation: seamless integration of sensors and algorithms

Open-source tools for engineering

CEA-List creates open-source engineering and design tools, a pragmatic approach designed to give industrial R&D professionals access to the latest advances coming out of our labs.

AI for systems engineering

CEA-List develops algorithms to help engineers face the challenges of designing complex systems.

Formal methods

The purpose of the INCA program is to make sophisticated formal verification methods accessible to all companies that develop code.

Augmented digital engineering

Assisting engineers with the design of increasingly software-intensive complex systems.