Course Description

This intermediate-level course offered by DelftX is designed to teach students how to program and use the Robot Operating System (ROS) for creating robust robotic applications in real-world scenarios. With ROS, learners can effectively handle a wide range of robotic functionalities necessary for modern industry requirements. This course provides hands-on experience with Ubuntu-Linux and simulation engines and rounds up to a capstone project involving an industrial production line.

What Students Will Learn

• Effective use of ROS communication tools (topics, services, actions).
• Visualize and create custom environments with robots.
• Robot mapping and autonomous navigation.
• Implement pick-and-place operations with industrial robot arms.
• Design and integrate robotic applications using state machines.

Course Prerequisites

This course requires a solid foundation in the following areas:

• Basic programming in Python, including familiarity with variables, loops, and functions.
• Ability to install and operate Ubuntu-Linux on a personal computer.
• Adequate understanding of basic linear algebra, computer science fundamentals, and Linux command line (self-learning is encouraged).

Course Coverage

• Introduction to Robot Operating Systems (ROS).
• Setup and configuration of simulation environments.
• ROS communication systems.
• Robot environment development and manipulation.
• Real-world robotic functionalities like mapping, navigation, and manipulation.
• Integration of various robotic systems into a cohesive application.

Who This Course Is For

This course is suitable for:

• Engineering students and professionals eager to master robotic systems.
• Individuals looking to understand and apply robotic solutions in industries like aerospace, manufacturing, and beyond.
• Hobbyists and developers interested in enhancing their skills in advanced robotics and open-source tools.

Real-World Applications

Skills acquired from this course can be applied in:

• Developing sophisticated robotic solutions for industrial automation and manufacturing.
• Contributing to the advancement of research and application in robotics across various sectors.
• Improvement of efficiency and innovation in fields such as aerospace, defense, and more.

Syllabus

• Week 0: Setup of course environment.
• Week 1: Introduction to ROS basics.
• Week 2: Building your robot environment.
• Week 3: Autonomous navigation.
• Week 4: Manipulation with robots.
• Week 5: Robot vision technologies.
• Week 6: Final capstone project.