Homepage - ETS - École de technologie supérieure, Université du Québec, Engineering for Industry.

Intelligent and Autonomous Systems

Automation used to be the ultimate innovation in industry, but automated systems still relied on human intervention for configuration and supervision. In addition, it was sometimes difficult to get these systems to work in new contexts. Introducing intelligence into the machines that make up these autonomous systems enables them to maintain performance and the precision of operations they require, because they can detect, plan and act on their own, even in a changing environment.

Applications are wide-ranging: autonomous transportation, computer-aided diagnosis, financial technologies, collaborative robotics, etc. These fields require both high-performance AI algorithms that can adapt to unpredictable situations and systems that can “sense” their environment and act upon it.

State-of-the-art equipment and infrastructure

Acting as a veritable virtually scalable factory model, this infrastructure connects the digital systems of partner educational institutions (ÉTS, UQAM, Polytechnique Montréal, Concordia University, Université Laval and Université de Sherbrooke, Cégep de Sherbrooke and John Abbott College) to the supply chain of a dozen Canadian manufacturing companies. This project makes it possible for a company to experimentally validate its various digital transformation strategies in a live environment. The technologies that are designed here incorporate cloud computing, artificial intelligence, robotics, human- machine interfaces and manufacturing through recycling.

Chairs and research units related to intelligent and autonomous systems

Chairs and research units at ETS

Francis Bordeleau, professeur au Département de génie des systèmes
80% of industrial robots perform simple tasks. We focus on the remaining 20% required to perform very complex and advanced tasks. Icon
Ilian Bonev : Aiming to give robots the intelligence needed to perform complex tasks

Industrial robots are very precise and fast, but not intelligent. In practical terms, we don’t modify the robot, we don’t improve it, we analyze it and then add systems and artificial intelligence to it. Everything is done from a computer, and that produces more efficient robots for the market.

May 30 - Intelligent and Autonomous Systems The Professor Who Talks to Robots May 26 - Intelligent and Autonomous Systems Algorithms Tailored to Industry Needs April 27 - Intelligent and Autonomous Systems Emotion Recognition using Cross-Attentional AudioVisual Fusion