This research project will combine computational modeling, machine learning (ML) algorithms and whole-brain neural recordings (magnetoencephalography, MEG) to shed light on how the mechanisms underlying dynamic decision making are implemented in the human brain. Specifically, we will use the statistical framework of information theory to characterize inter-areal neural coupling and the direction of information flow […]

The project aims to extend worksite safety of construction projects at Hydro-Quebec (HQ) using computer vision and a Real-Time Location System (RTLS). The case study is a substation construction project near Montreal. The main safety risks that will be targeted in the case study are related to equipment mobility (struck-by accidents) and not wearing Personal […]

The Mobile Robotics and Autonomous Systems Laboratory of Polytechnique Montréal is specialized in drone development and applications. The intern will join the team in charge of developing a payload transport system with drones. IN this research work we will develop a simulation environment, validate the different control strategies in the simulation environment and implement the […]

In many real-world applications, robots need communication between each other to coordinate. For the information to propagate, robots need to be connected, i.e. there has to be a communication path between all the robots in a team. We have designed a decentralized connectivity-preserving algorithm and validated using the ARGoS multi-robot simulator. The connectivity-preserving algorithm has […]