IT & Tech

Autonomous Robots and ROS.

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Örebro universitet
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Autonomous Robots and ROS is an advanced Smarter course from Örebro University centred on the Robot Operating System (ROS), the middleware widely used in robotics research. You learn how ROS works and how it is applied across artificial intelligence and robotics, handling communication, sensors, actuators, visualisation and simulation. You use ROS to design parts of an intelligent system and test them both in simulation and on real robot platforms. The course is given in English at distance with three mandatory half-day meetings at Örebro University.

Duration: 3 months
Format: Hybrid
Location: Örebro
Language: English
Level: Advanced

Time commitment: part time over one semester; distance learning with 3 mandatory half-day meetings in Örebro

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About the course.

This certifies that the participant has developed knowledge of the Robot Operating System (ROS) and its role in autonomous robotics. The participant can integrate sensing, control, and decision-making in robotic platforms using ROS.

This certifies that the participant has developed knowledge of the Robot Operating System (ROS) and its role in autonomous robotics. The participant can integrate sensing, control, and decision-making in robotic platforms using ROS.

What you will learn

What you learn.

  • You can explain what ROS is and how it is used in robotics and AI.
  • You can use ROS for communication and for connecting sensors and actuators.
  • You can integrate sensing, control and decision-making on a robot platform.
  • You can design parts of an intelligent system using ROS.
  • You can test and evaluate solutions both in simulation and on real robots.
Curriculum

How the course is built.

  1. Introduction to ROS

    What ROS is and its role as middleware in autonomous robotics.

  2. Sensors and actuators

    Connecting and handling hardware and communication in ROS.

  3. Sensing, control and decisions

    Integrating perception, control and decision-making on a robot platform.

  4. Simulation and real robots

    Designing and testing system parts in simulation and on existing robot platforms.

Target audience

Who is this for?

For professional engineers and developers who want to work with autonomous robots and build intelligent systems with ROS. Prerequisites: 180 credits including 15 credits of programming, plus English 5/English A.

What "verified" means here

Verified credential.

When you complete the course, Örebro universitet issues your certificate. Your name, the course content and the issue date are encrypted and secured on blockchain, so it cannot be changed, and anyone can check that it is genuine.

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