MSc student in computer engineering
Award-winning publication: Modeling Perceptual Aliasing in SLAM via Discrete-Continuous Graphical Models
Published in: PIEEE Robotics and Automation Letters
Like humans, robots need to know where they are in order to find their way to their destination. And, like humans, robots can make mistakes, get lost and fail at their mission. These types of errors are caused by a phenomenon known as perceptual aliasing, in which a robot perceives two different areas as visually similar. The innovative approach developed by Pierre-Yves Lajoie makes it possible to model and counteract the effects of perceptual aliasing as part of the localization process to avoid errors and enable the robots to successfully complete their mission.