Free Download AMR From Scratch ROS 2, SLAM and Nav2 in SimulationPublished 8/2026
Created by Ferbin Richard
MP4 |
Video: h264, 1920x1080 |
Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels |
Genre: eLearning |
Language: English + subtitle |
Duration: 122 Lectures ( 11h 55m ) |
Size: 5.2 GB
⚡ Build an autonomous mobile robot from an empty file: URDF, xacro, meshes, wheels, sensors and a working diff-drive plugin in Gazebo.
⚡ Map an unseen warehouse with SLAM, then localise inside it by fusing wheel odometry, IMU and laser scans with robot_localization and AMCL.
⚡ Configure and tune the full Nav2 stack: costmaps, behaviour trees, planners, controllers and recovery behaviours, on a robot you built yourself.
⚡ Derive differential-drive kinematics, odometry and path-planning algorithms on screen, term by term, instead of copying finished equations.
Requirements❗ A computer that can run Ubuntu 24.04. No robot hardware needed
DescriptionThis course contains the use of artificial intelligence.
Most robotics courses hand you a finished robot.
This one starts with an empty file.Over thirteen sections, you will build a warehouse-class autonomous mobile robot from scratch using
ROS 2, Gazebo, SLAM and Nav2.
You will create the robot
Description yourself, including its chassis, wheels, joints, safety scanners, depth camera and IMU, then spawn it inside a realistic Gazebo warehouse and make it navigate autonomously.
What You Will Build
✨ A complete URDF mobile robot
✨ Differential-drive control and kinematics
✨ Laser scanners, depth camera and IMU
✨ Odometry and sensor fusion
✨ SLAM and occupancy-grid mapping
✨ Localization
✨ Nav2 costmaps, planners and controllers
✨ Behavior Trees and recovery behaviors
✨ A complete autonomous warehouse navigation system
Real Code, Real Failures
Every command is actually run on screen.
When something breaks, you watch it fail, inspect the problem and fix it properly. The debugging is intentionally kept in the course because those failures are part of building real robotics systems.
Understand the Mathematics
The mathematics is worked through step by step rather than simply showing finished formulas.
You will understand the foundations behind
✨ Differential-drive kinematics
✨ Odometry integration
✨ Occupancy-grid mapping
✨ Localization
✨ Navigation and path planning
Final Capstone
By the end of the course, all of the pieces come together into one autonomous mobile robot capable of mapping its environment, estimating its position, planning paths, avoiding obstacles and navigating through a warehouse.
Everything runs in simulation.
You need a machine capable of running Ubuntu. You do not need a physical robot.Who this course is for⭐ A computer that can run Ubuntu 24.04. No robot hardware needed
⭐ ROS 2 users who can launch someone else's navigation stack but not yet debug their own.
Homepagehttps://www.udemy.com/course/amr-from-scratch-ros-2-slam-and-nav2-in-simulationRecommend Download Link Hight Speed | Please Say Thanks Keep Topic Live
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