ariarobotics/robotic-mapping

A beginner-friendly SLAM mini-course with Jupyter notebooks — covering Bayes Filters, Kalman Filters, Particle Filters, and Graph-based SLAM with hands-on Python examples.

Solutions to assignments for Robot Mapping / SLAM Course WS 2013/14, Uni of Freiburg. Please see to linked website and README for YouTube videos & further resources.

Code exercises for the SLAM courses

Release repo for our SLAM Handbook

This repo contains my snippet and tutorials for Lie Group and Lie Algebra, Topology and Configuration of Robot and Space ,IMU, ROS2 Gazebo Integration, State Estimation, VIO, LIO, and Deep Learning based SLAM

Autonomous Mobile Robot developed and programmed in the online course named "Self-Driving and ROS 2 - Learn By Doing! Map & Localization"

A Modular Optimization framework for Localization and mApping (MOLA)

RTAB-Map library and standalone application

collecting some new ideas for slam (Semantic, 3DGS, BEV, Nav, LLM, Multi-session) and will update this repo weekly, for both engineering and academic usings.