[ICRA 2025 Best Paper] MAC-VO: Metrics-aware Covariance for Learning-based Stereo Visual Odometry
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Updated
Nov 24, 2025 - Python
[ICRA 2025 Best Paper] MAC-VO: Metrics-aware Covariance for Learning-based Stereo Visual Odometry
ROS driver for all of MicroStrain's current G and C series products. To learn more visit
Python files for SLAM course by Claus Brenner
Pepper Programs : Object Detection Real Time without ROS
Coding dense visual odometry in a little more than a night (yikes)!
This repository contains ROS2 package for 2d-Lidar scanner based Kidnapped Robot Re-localization solution (without using AMCL). The idea is to take the original map image, and create a scan-image from local lidar scan, then 'simulate' scans on random positions in the map image (using ray-casting), and find the best-matching scan with orig scan.
3D pose estimation of an RGB-D camera using the least squares technique
IEPF (Iterative End Point Fit) Line Extraction Algorithm for SLAM (Simultaneous Localization and Mapping)
Get the papers you want from ArXiv every weekday.
Autonomous navigation using SLAM on turtlebot-2 for EECE-5698 Mobile robotics class.
Mobile robots playground
This repository consists the entire solution code for the course SLAM - by Claus Brenner. All solutions have been written in Python 3. You can find the video tutorials on YouTube.
A library of ROS2 algorithm wrappers.
A fully visualized implementation of the Dynamic Window Approach (DWA) in Python using Pygame. Simulate and visualize obstacle avoidance and goal-reaching for mobile robots in 2D space — perfect for robotics beginners, path planning researchers, and AI robotics students!
Autonomous vacuum cleaner robot
A modular SLAM system combining Particle Filter-based localization, Occupancy Grid Mapping (OGM), Dynamic Window Approach (DWA) for real-time obstacle avoidance, and D* Lite for global path replanning. This project integrates both probabilistic mapping and real-time motion planning, suitable for research and educational use in robotics.
This repo contains several concepts and implimentations of computer vision and visual slam algorithms for rapid prototyping for reserachers to test concepts.
Feature based SLAM on monocular RGB images.
Implementation for EKF for Visual Inertial Odometry
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