Robohub.org
 

Taking your first steps in robotics with the Thymio II


by
25 December 2013



share this:

Perhaps you were inspired by and her experiences using the Thymio II in the classroom to motivate independent learning and discovery, or perhaps you saw the Thymio II on our Holiday Gift Ideas and just couldn’t resist. Either way, you’ve got your hands on a Thymio II and are wondering how to get started!

thymio-ball-balancingIf that’s the case, or if you’re simply interested in learning more about the Thymio, head over to Thymio & Aseba. There you can find an excellent guide on using the visual programming language (VPL) bundled with Aseba, to program the Thymio II. This guide includes an introduction to the Thymio II and the VPL, and contains a number of small projects of increasing complexity, designed to gradually introduce new features, sensors, actuators and ideas to the reader.

On the Thymio & Aseba site, you will also find numerous project examples (for example ball balancing, as pictured above), many of which include Aseba source code examples and an implementation discussion. You can also find various constructions, which take advantage of the Thymio’s LEGO Technic interoperability to build many weird and wonderful creations including cranes, funicular railways, walking robots and more.

Of these many project examples, three projects really stood out to me:

  1. The simple pendulum, where the Thymio’s accelerometer is used to investigate the dynamics of a swinging pendulum;
  2. The scales (shown below), where mechanical scales are built and the Thymio’s distance sensor used to digitize the weight measurement; and
  3. The reflectivity measure, which uses the Thymio’s IR sensor to measure optical reflectivity of various objects at known distances, automated using the Thymio’s wheels to drive an arm mechanism.

These three examples demonstrate that robots, although cool in their own right, are also an excellent tool for learning more about the world around us.

thymio-scales

tags:


Mike Hamer

            AUAI is supported by:



Subscribe to Robohub newsletter on substack



Related posts :

Robot Talk Episode 165 – Robots behind the research, with Kushant Patel

  09 Oct 2026
In the latest episode of the Robot Talk podcast, Claire chatted to Kushant Patel from Brookhaven National Laboratory about robots that work in scientific facilities, such as particle accelerators.

What three days building a robot taught me

and   07 Oct 2026
The brief sounded simple: build a small autonomous robot, then make it survive increasingly difficult mazes. Simple... right? Until you actually have to build one.

Research could guide the future design of social robots

  05 Oct 2026
Giving robot companions animal-like or anime-style faces and voices could maximise their emotional appeal to users, according to new research which could help guide the growing field of social robotics.

Robot Talk Episode 164 – Accelerating robot learning, with Michelle Lu

  02 Oct 2026
In the latest episode of the Robot Talk podcast, Claire chatted to Michelle Lu from Vsim Technology about using simulation and artificial intelligence to teach robots new skills.

Robotics and automation? Informal reflections on familiar terms

IEEE experts reflect on what is meant by the term "robotics and automation".

Small, medium or large, a robotic fish maintains its swimming ability

  28 Sep 2026
Researchers at EPFL and New York University have developed a robotic fish that can be made in various sizes for studying shallow creeks to open water.

Robot Talk Episode 163 – Robots helping people, with Aaron Edsinger

  25 Sep 2026
In the first episode of Robot Talk season 7, Claire chatted to Aaron Edsinger from Hello Robot about their Stretch robots that can help people with mobility issues live more independently.

An open source approach to physical AI from Intrinsic

  25 Sep 2026
Find out more about the capabilities of Intrinsic Core.


↑


AUAI is supported by:







Subscribe to Robohub newsletter on substack




 















©2026.05 - Association for the Understanding of Artificial Intelligence