Welcome to the site of the Northern Robotics Laboratory (norlab) at Laval University. Our research laboratory is specialized in mobile and autonomous systems working in northern or difficult conditions. We aim at investigating new challenges related to navigation algorithms to push the boundary of what is currently possible to achieve with a mobile robot in real-life conditions. The current focus of the laboratory is on localization algorithms designed for laser sensors (lidar) and 3D reconstruction of the environment. We will use this website to showcase our results and to simplify the knowledge transfer with some general tips & tricks.
News
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First sensor from RoboSense in Quebec!
The laboratory received recently a RS-LIDAR-16 from RoboSense. This is the first unit delivered in Quebec and we are happy to use it for our project on 3D ma...
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Undergraduate Student Research Awards
Congratulation to Simon-Pierre Deschênes for his Undergraduate Student Research Awards (USRA). We are welcoming this addition to the team during this summer!
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French Version of the Site
We start the deployment of the French version of the website. Don’t hesitate to report any article missing a translation.
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The Unofficial Website Launch
We are launching unofficially the website for the new lab at Laval University. There are still quite some pages to fix, but we have to start somewhere…
Research
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Manipulation
Open position for a Ph.D. student!
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Libpointmatcher
Libpointmatcher is a library that implements the Iterative Closest Point (ICP) algorithm for alignment of point clouds. It supports both point-to-point and ...
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Limnobotics
The goal of this multi-disciplinary project is to provide unprecedented spatial and temporal coverage of key limnological parameters of Lake Zurich for a bet...
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TReX
Tethered mobile robots are ideal for mapping extreme environments because an attached electromechanical tether provides support on steep terrain, continuous ...
Publications
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Learning a Bias Correction for Lidar-only Motion Estimation
This paper presents a novel technique to correct for bias in a classical estimator using a learning approach. We apply a learned bias correction to a lidar-o...
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A Review of Point Cloud Registration Algorithms for Mobile Robotics
The topic of this review is geometric registration in robotics. Registration algorithms associate sets of data into a common coordinate system. They have b...
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Challenging Data Sets for Point Cloud Registration Algorithms
This group of datasets was recorded with the aim to test point cloud registration algorithms in specific environments and conditions. Special care is taken ...