Autonomous Mobile Robot developed and programmed in the online course named "Self-Driving and ROS 2 - Learn By Doing! Odometry & Control"
This is repository for the course ROS2 Autonomous Driving and SLAM using NAV2 with TurtleBot3 on Udemy.
In this repo we use Turtlebot 3 along with ROS 2 and Gazebo to explore an unknown csv environment, navigate through it and create a map
This repository includes the simulation of a vehicle with an Ackermann drive system in ROS2 Jazzy and Gazebo Sim Harmonic, utilizing the Nav2 package for autonomous navigation.
Mapping, localization and using the navigation stack with ROS2 Jazzy
MCP server that provides tools and resources to control and monitor robots using Nav2.
An autonomous exploration package for ROS 2 Humble using Nav2 and SLAM Toolbox. It enables robots to explore unknown environments, build maps, and recover from localization failures, solving the kidnapped robot problem effectively.
ROS2 Humble: Use voice commands to make the robot grasp the target object. ROS2 humble版本仿真环境下，实现接收语音命令后通过大模型转为指令，控制轮式机器人完成检测目标、建图导航并抓取物体。
Differential drive robot package with ROS 2 Jazzy and Gazebo Harmonic
Robot autónomo ROS2 Humble | SLAM + Nav2 + Gazebo | Navegación autónoma para logística industrial
Jetbot tools is a set of ROS2 nodes that utilize the Jetson inference DNN vision library for NVIDIA Jetson
Mobile robots playground
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.
Navigation stack for AgileX Scout Mini robot.
Multi-robot sandbox for ROS 2
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,
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