A script toolkit for SLAM research, including but not limited to various plotting functions, ROS bag processing, and more.
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Updated
Aug 12, 2025 - Python
A script toolkit for SLAM research, including but not limited to various plotting functions, ROS bag processing, and more.
Mapping, localization and using the navigation stack with ROS2 Jazzy
Autonomous Mapping and Navigation Using SLAM Toolbox, Nav2, Gazebo, and Rviz Visualization
Using turtlebot3 and slam_toolbox to map an environment and navigate within the explored map
ROS2 package for Kaia.ai robots
This repository contains a ROS 2 package that implements dynamic obstacle avoidance using Nav2. The simulation is performed in Gazebo, where a robot autonomously navigates through a mapped environment while detecting and avoiding moving obstacles in real time. The project utilizes Nav2 with costmap updates and dynamic obstacle handling enabled.
"Using ROS2 Jazzy and Gazebo Harmonic for autonomous navigation simulation of a robot car."
This project involves an autonomous indoor navigation system for a UGV using the ROS 2 Navigation Stack. It integrates SLAM, AMCL localization, global path planning with A*, and local obstacle avoidance via a Model Predictive Path Integral controller. LiDAR handles mapping and navigation, while a depth camera aids in close-range obstacle detection,
Multi-robot sandbox for ROS 2
This project aims to develop an exploration and mapping system for a custom differential drive robot designed by LASER-Robotics Lab. The system uses the SLAM Toolbox for simultaneous localization and mapping (SLAM), Nav2 for navigation, and Explore Lite for autonomous exploration.
Navigation in ROS2 with Nav2 introduced a lot of new features and possibilities. The goal of this assignment is to explore and test the new feature of navigating in a known environment while avoiding user-defined “keep out areas”.
ROS2 jazzy + GZ Harmonic car simulation with Mecanum wheels
ROS 2 Navigation and SLAM with Nav2 and Gazebo Harmonic
autonomous four wheeled omnidirectional robot
VAPOR - Video Analysis Processing for Object Recognition is a modular framework for analyzing video quality and its impact on medical reconstruction. VAPOR applies controlled blur effects to quantify relationships between image quality metrics and 3D reconstruction accuracy, removes specularity and addresses floating objects in intrabody images.
ROS2 autonomous vehicle with ackermann steering
This is a simple SLAM based path tracking simulation of a mobile rover avoiding obstacles using ROS2 and Gazebo.
Project for a diff drive robot mapping while navigating using slam_toolbox and Nav2
Extended Kalman Filter SLAM using Nav2 and SLAM toolbox using ROS2 Iron and Gazebo Classic.
TurtleBot3 Autonomy (ROS 2 Humble) — mapping (slam_toolbox/static), semantic memory with free-text queries, and RRT planning, with offline proofs that run on Windows.
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