ROS for Mobile Robots using Python

• An understanding of basic robotics concepts and terminology
• Experience with Python programming and data analysis
• Familiarity with Linux operating system and command line tools

Audience

• Robotics developers
• Robotics enthusiasts

ROS (Robot Operating System) is a framework that provides tools and libraries for developing robotic applications. Python is one of the supported programming languages in ROS. A mobile robot is a robot that can move autonomously or semi-autonomously in an environment.

This instructor-led, live training (online or onsite) is aimed at beginner-level to intermediate-level and potentially advanced-level robotics developers who wish to learn how to use ROS to program mobile robots using Python.

By the end of this training, participants will be able to:

• Set up a development environment that includes ROS, Python, and a mobile robot platform.
• Create and run ROS nodes, topics, services, and actions using Python.
• Use ROS tools and utilities to monitor and debug ROS applications.
• Use ROS packages and libraries to perform common tasks for mobile robots.
• Integrate ROS with other frameworks and tools.
• Troubleshooting and debugging ROS applications.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

Introduction to ROS and Python for Robotics

• Overview of ROS features and architecture
• Benefits of using ROS for mobile robotics

Understanding ROS

• Core concepts and components
• ROS file system, directory structure, and communication model

Setting up the Development Environment

• Installation of ROS and Python
• Configuration of ROS environment and workspace
• Connecting a mobile robot platform with ROS

Creating and Running ROS Nodes with Python

• Creating ROS nodes using Python
• Running nodes and using command line tools
• Writing and using ROS node launch files
• Utilizing ROS parameters and logging

Creating and Using ROS Topics with Python

• Creating ROS topics with Python
• Publishing and subscribing to ROS topics
• Utilizing ROS message types and custom messages
• Monitoring and recording ROS topics using ROS tools

Creating and Using ROS Services with Python

• Creating ROS services with Python
• Requesting and providing ROS services
• Utilizing ROS service types and custom services
• Inspecting and calling ROS services using ROS tools

Creating and Using ROS Actions with Python

• Creating ROS actions with Python
• Sending and receiving ROS action goals
• Utilizing ROS action types and custom actions
• Managing and canceling ROS actions using ROS tools

Using ROS Packages and Libraries for Mobile Robots

• Using ROS navigation stack for mobile robots
• Implementing ROS SLAM packages for mobile robots
• Employing ROS perception packages for mobile robots

Integrating ROS with Other Frameworks and Tools

• Using ROS with OpenCV for computer vision
• Using ROS with TensorFlow for machine learning
• Using ROS with Gazebo for simulation
• Using ROS with other frameworks and tools

Troubleshooting and Debugging ROS Applications

• Addressing common issues and errors in ROS applications
• Applying effective debugging techniques and tools
• Tips and best practices for improving ROS performance

Summary and Next Steps