Bienvenue sur le site du Laboratoire de robotique boréale (norlab) de l'Université Laval. Notre laboratoire de recherche est spécialisé en systèmes mobiles et autonomes fonctionnant en conditions nordiques ou difficiles en général. Nous visons l'étude de problèmes reliés au algorithmes de navigation dans l'optique de repousser les limites de ce qui est présentement possible de faire avec un robot mobile en conditions d'utilisations réelles. Présentement, nos efforts sont dirigés vers les algorithmes de localisation basés sur les capteurs laser (lidar) et sur la reconstruction 3D d'environnements. Nous utiliserons ce site web afin de présenter nos résultats de recherche et de simplifier le transfert de connaissances grâce à des trucs et conseils généraux.
Nouvelles
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Norlab goes to CRV!
(Seulement en anglais) This month, the lab attended the 17th conference on Computer and Robot Vision, which was held virtually due to the COVID-19 situation.
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Our first group photo!
(Seulement en anglais) It has been a good year in term of team building and equipment acquisition. Next year will most probably reserve us a lot of surprises, but I’m certain that...
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Norlab is going to Asia!
(Seulement en anglais) We are going to Tokyo (Japan) and Macau (China) with four accepted publications at the 2019 International Conference on Field and Service Robotics and one at...
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First appearance of the lab in IEEE Spectrum
(Seulement en anglais) Norlab appears in the online version of the magazine IEEE Spectrum with the title DARPA Subterranean Challenge: Meet the First 9 Teams. They confuse our Fren...
Recherche
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Project SNOW
(Seulement en anglais) Self-driving cars are expected on our roads soon. In the project SNOW (Self-driving Navigation Optimized for Winter), we focus on the unexplored problem of a...
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DARPA - SUBTERRANEAN CHALLENGE
(Seulement en anglais) DARPA - Subterranean Challenge (DARPA-SubT) is an international robotics competition focusing on autonomy, perception, networking, mobility technologies, and...
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The Montmorency dataset
(Seulement en anglais) Under construction
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Projet Scutigera et cartographie souterraine
L’exploration de larges cavernes en utilisant les outils classiques de scan 3D est toujours un veritable défi. L’espace est assez limité pour permettre l’ins...
Publications
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Evaluation of Skid-Steering Kinematic Models for Subarctic Environments
(Seulement en anglais) In subarctic and arctic areas, large and heavy skid-steered robots are preferred for their robustness and ability to operate on difficult terrain. State esti...
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Large-scale 3D Mapping of Subarctic Forests
(Seulement en anglais) The ability to map challenging subarctic environments opens new horizons for robotic deployments in industries such as forestry, surveillance, and open-pit m...
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Lambda-Field: A Continuous Counterpart of the Bayesian Occupancy Grid for Risk Assessment
(Seulement en anglais) In a context of autonomous robots, one of the most important tasks is to ensure the safety of the robot and its surrounding. The risk of navigation is usuall...
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Lidar Measurement Bias Estimation via Return Waveform Modelling in a Context of 3D Mapping
(Seulement en anglais) In a context of 3D mapping, it is very important to obtain accurate measurements from sensors. In particular, LIDAR measurements are typically treated as a z...