Our laboratory specializes in mobile and autonomous systems working in northern or difficult conditions. We aim to investigate 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.
You can find all our datasets on this page.
An Iterative Closest Point (ICP) library for 2D and 3D mapping in Robotics
A 2-D/3-D mapping library relying on the "Iterative Closest Point" algorithm
A bridge between norlab_icp_mapper and ROS
A curated list of Canadian robotics open-source software, companies and researchers.
Mathematic function formulated as a Gymnasium environment. This is a no action environment meant for evaluating model-based RL motion dynamic model learning quality.
Docker-based solution for playing ROS2 bagfiles (mcap) within FoMo dataset leaderboard
Real-time lidar-inertial odometry and mapping framework for large-scale environements
A library for managing trajectory related data. Provide trajectory dataclasses of various type, factory function, rosbag extractor, pandas dataframe extractor and various utilities
Fixed version of ORB-SLAM3 stereo mode
The fuse stack provides a general architecture for performing sensor fusion live on a robot. Some possible applications include state estimation, localization, mapping, and calibration.
Loading...
Loading...
