ASRL - Autonomous Space Robotics Lab
The purpose of our lab's research program is to enable field robotics applications through advances in visual navigation of mobile robots.
Toronto, Canada
Pinned Repositories
batch-informed-trees
A fork of The Open Motion Planning Library (OMPL) to include Batch Informed Trees (BIT*)
Deep-Collison-Checker
deep_learned_visual_features
Deep learned features for long-term localization in Visual Teach and Repeat
hero_radar_odometry
Unsupervised radar odometry combining deep learning with classical state estimation
lgmath
Lie group math library.
pyboreas
Devkit for the Boreas autonomous driving dataset.
radar_topometric_localization
steam
The Simultaneous Trajectory Estimation and Mapping (STEAM) Engine.
steam_icp
Continuous-time lidar, radar, lidar-inertial, and radar-inertial odometry
vtr3
VT&R3 is a C++ implementation of the Teach and Repeat navigation framework. It enables a robot to be taught a network of traversable paths and then closely repeat any part of the network.
ASRL - Autonomous Space Robotics Lab's Repositories
utiasASRL/steam_icp
Continuous-time lidar, radar, lidar-inertial, and radar-inertial odometry
utiasASRL/vtr3
VT&R3 is a C++ implementation of the Teach and Repeat navigation framework. It enables a robot to be taught a network of traversable paths and then closely repeat any part of the network.
utiasASRL/steam
The Simultaneous Trajectory Estimation and Mapping (STEAM) Engine.
utiasASRL/pyboreas
Devkit for the Boreas autonomous driving dataset.
utiasASRL/deep_learned_visual_features
Deep learned features for long-term localization in Visual Teach and Repeat
utiasASRL/lgmath
Lie group math library.
utiasASRL/radar_topometric_localization
utiasASRL/dICP
Differentiable ICP implementation for learning tasks.
utiasASRL/pysteam
Python implementation of STEAM (Simultaneous Trajectory Estimation and Mapping).
utiasASRL/doppler_odom
utiasASRL/constraint_learning
Automatically generate all constraint matrices for (lifted) QCQP problems.
utiasASRL/cpo
ROS2 project that uses raw GPS measurements from a single on-board receiver to estimate a robot's pose over time.
utiasASRL/sdprlayer
utiasASRL/SE-Sync-Landmarks
A fork of the original SE-Sync. Allows efficient computation of landmark-based SLAM by first marginalizing over landmark data.
utiasASRL/certifiable-tools
A repo for building certifiable optimization tools
utiasASRL/safe_and_smooth
Code associated to the paper "Safe and Smooth: Certified Continuous-Time Range-Only Localization"
utiasASRL/starloc
STAR-loc: Dataset for STereo And Range-based localization
utiasASRL/ros2-vicon-receiver
Vicon Receiver for ROS2
utiasASRL/mm_masking
Multi-modal Masking Project Repo
utiasASRL/point_slam
utiasASRL/aer1513
Repo with datasets for AER1513
utiasASRL/poly_matrix
This repository contains functionalities to easily set up symmetric matrices arising in semidefinite realaxations of polynomial optimization problems.
utiasASRL/vtr3_gui
utiasASRL/boreas_vtr_wrapper
utiasASRL/casadi
CasADi is a symbolic framework for numeric optimization implementing automatic differentiation in forward and reverse modes on sparse matrix-valued computational graphs. It supports self-contained C-code generation and interfaces state-of-the-art codes such as SUNDIALS, IPOPT etc. It can be used from C++, Python or Matlab/Octave.
utiasASRL/my580-experiments
Repository for running experiments in Myhal 580
utiasASRL/nerian_stereo_ros2
ROS 2 driver node for Scarlet, SceneScan and Ruby stereo vision sensors by Nerian Vision GmbH
utiasASRL/nmea_navsat_driver
ROS package containing drivers for NMEA devices that can output satellite navigation data (e.g. GPS or GLONASS).
utiasASRL/open-data-registry
A registry of publicly available datasets on AWS
utiasASRL/vtr3_pose_graph
Python tools to load VT&R3 Pose Graphs