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Industrial ROS2 Manipulation Lab — Simulation Track
Module 0 Start Here!
Welcome to the Industrial ROS2 Manipulation Lab (20:05)
Request Access to Your Private GitHub Repository
What Problem This Lab Solves
What You Will Build
How to Use This Course
Install Docker Desktop WSL2 and VS Code on Windows 11
Install Docker and VS Code on Ubuntu 22.04
Clone the Repository and Run lab doctor
Launch Your First Demo
Troubleshooting GUI Docker Volumes
Module 1 ROS2 Fundation
How These ROS2 Concepts Are Used in the Lab
Differences Between ROS and ROS2 (10:51)
ROS and ROS2 Distributions
Create a ROS2 Workspace (9:19)
Create a C++ Package and Node (37:39)
Topic Publisher/Subscriber in C++ (37:30)
Create a Python Package and Node (30:00)
Topic Publisher/Subscriber in Python (21:47)
Create a Custom Interface (11:47)
Create a Service in Python (15:38)
Create a Service in C++ (17:55)
ROS2 Parameters (29:57)
Create a Launch File (30:50)
Module 2 Docker for Robotics
You Do Not Need to Understand Docker First
Why Docker for Robotics (22:32)
What Is Docker Under the Hood (13:19)
How to Run a Container (17:45)
Volumes: Making Data Persistent (19:26)
GUI Applications in Docker (12:43)
Multi-Container Robotics with Docker Compose (33:59)
Using Docker in VS Code (13:31)
Common Docker Commands Cheatsheet
Module 3 Design a Robotic Cell in Simulation
The Workcell Architecture
The UR5, the Depth Camera, and MoveIt (81:24)
Add the Robotiq Gripper to the UR5 (62:51)
The World, and the LinkAttacher Workaround (15:34)
Make Your Packages Portable
What You Just Built: the ros2_control Stack
Module 4 ROS2 Control and MoveIt2
Write an IK Node with MoveIt2 in C++
Test Inverse Kinematics with the UR5 (20:46)
Simulate Grasping with LinkAttacher
Checkpoint: You Said WHERE. You Never Said HOW.
Module 5 Develop a Blind Pick and Place with 6-Axis Robot
Get the GitHub Repo if you are Running Locally in Ubuntu 22.04 and Use MoveIt Setup Assistant
The Anatomy of a Blind Pick-and-Place Cycle
Run Pick-and-Place with the UR5 and the Robotiq (8:26)
Collision Objects, and the Planning Scene (23:37)
Upgrading the MoveIt Config for Industrial Planners
Cartesian Motion: Commanding the HOW (30:20)
Choose Your Planner: PTP, LIN, and the Trap Pilz Sets
Checkpoint: What Is Still Fragile
Module 6 Develop a Vision Guided Pick and Place
From Pixel to Robot Base Frame
Point Cloud Library and 3D Processing in ROS2 (52:12)
Pick-and-Place with the UR5, the Robotiq and the 3D Camera (31:58)
Vision + a Planner you Choose for Reliable and Industrial Apllication
Checkpoint: What Vision did not Fix
Module 7 The Behavior Tree Architecture for Robotics
The Task is Data: Why Industrial Applications are Not One Big Script
Meet industrial_bt_framework
The Adaptation Layer: a Bridge and Perception Adapter
The Task as a Tree: Run It
Checkpoint: One Framework Many Robots
Module 8 Capstone Portfolio
What you Have Built
Capstone Brief Build Your Vision Guided Application
How to Publish This Project on GitHub
How to Present This Project in Your Portfolio
Reference Repositories and Docker Images
Wrap Up and Next Steps
Continue to the Full Track — Your €200 Upgrade Credit
Bonus — Model Your Own Robot: URDF from Scratch to ros2_control
Introduction to URDF (7:41)
Strategy: Modelling a Robot Nobody Has Modelled (8:20)
Your First Links and Joints, From Primitives (12:48)
Visualize the Robot in RViz (13:44)
Joint State and Robot State Publisher (10:24)
Complete the 6-Axis Arm (19:59)
Simplify the Model With Xacro Macros (15:05)
Model a Gripper as End Effector (22:56)
Make Your Packages Portable
Inertias That Do Not Wreck the Simulation (22:01)
The Gazebo Plugin and the ros2_control Seam (14:12)
Spawn Your Robot in Gazebo
ROS2 Control: Joint Group Position Controller (54:23)
ROS2 Control: Gripper Action Controller (16:20)
ROS2 Control: Joint Trajectory Controller (12:20)
Send trajectory_msgs from a C++ Script (11:43)
Create a MoveIt2 Configuration Package (55:40)
Interface MoveIt2 with Gazebo (18:24)
Pick-and-Place with a Custom Robot (30:27)
Teach online with
From Pixel to Robot Base Frame
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