awesome-canadian-robotics

From Dalhousie University and specialized in robust nonlinear control, teleoperation systems, multi-agent systems cooperation, intelligent transportation control, haptics, exoskeletons, human machine interfaces, model predictive control, and assistive robotics.

From the University of Guelph and specialized in intelligent systems, robotics, control systems, vision and signal processing, sensors, communications.

From McGill University and specialized in UAVs, space robotics systems, and timber grasping.

Designs and produces automated patient transfer solutions.

Designs electric micromobility platforms and self-driving robotic pods.

Develops vision and manipulation algorithms and hardware to improve factory productivity.

Designs, manufactures, sells, services, and supports autonomous cleaning robots.

Develops industrial automation solutions and products in the areas of robotics and machine vision, including robot guidance, bin-picking, flexible inspection, 3D scanning and robot calibration.

Develops micro and nano space technology and smart, ruggedized vehicles.

Has a team specialized in the automation of forestry activities.

Has a team specialized in autonomy.

Has a team specialized in autonomous systems for power industries.

Has a team focusing on autonomous driving solutions.

A collection of ROS packages and configuration files maintained by

An Iterative Closest Point (ICP) library for 2D and 3D mapping in Robotics in C++.

A set of nodes for ROS to filter point clouds with the goal of removing snow in Lidar data.

Trajectory utilities for Micro UAVs (MAVs). Maintained by the lab

A 2-D/3-D mapping library relying on the "Iterative Closest Point" algorithm.

Optimizing Dynamic Programming-Based Algorithms Resources.

Data generation code used to mine data from GTAV.

ROS packages to visualize and interact with the data in RViz, helper scripts in Python to fetch and plot data from the rosbags.

This repository contains two datasets: a 43,000 synthetic forest images and a 100 real image dataset. Both include high-definition RGB images with depth information, bounding box, instance segmentation masks and keypoints annotation.

The First Full-Waveform Flash LIDAR Dataset for Autonomous Vehicle R&D. The PixSet dataset contains 97 sequences for a total of roughly 29k frames using the AV sensor suite. Each frame has been manually annotated with 3D bounding boxes. The sequences have been gathered in various Canadian environments (e.g., urban, suburban like highway), climatic (e.g., sunny, cloudy, rainy) conditions and illumination (e.g., day, night, twilight) conditions with an instrumented vehicle.

Scripts for generating ground planes, splits, and visualizations from the data.

Scripts for generating ground planes, splits, and visualizations from the data.