Robohub.org
 

Root: A robot for all ages to learn coding


by
31 October 2016



share this:
root-robot-practical

Support a Kickstarter campaign to crowdfund Root: the coding robot for all ages!

Root is a robot, originally developed at Harvard University, that helps anyone from four to 99 learn how to code. Root has over 50 sensors and actuators with it can draw, erase, play music, explore its world, and even defy gravity by using magnetism to drive on wall-mounted whiteboards. Root simply connects wirelessly (using Bluetooth Low Energy) to your tablet, phone, or laptop, to create a real-time link for programming and controlling Root.

The main goal when developing Root was to make computer science accessible to as many people as possible.  This meant that getting started had to be easy and non-intimidating for newcomers to coding.  To do this, we made Root ready to go out of the box, with sensors to support a wide variety of activities.  We also developed a multi-level coding app that starts with a graphical programming interface that even non-readers can use to code.

Some unique features of the app are that it has been optimized for touch-screens (that kids are experts at using from a young age), it does not require reading or advanced counting skills, and kids (or adults) can modify the program while it is running.

root-robot-schim

Coding with Root is a dynamic and creative experience: Root reacts to things in the environment, kids react to Root and the interplay is orchestrated with code.  Once you have mastered the basics in the first interface, the app smoothly transitions through a second block-based interface that enables more complexity and finally to full text-based coding in Python, JavaScript, and Swift.  From there, you can continue programming through Root’s SDK.

We have been developing Root and the software interface for over three years and now our startup, Scansorial, has launched a Kickstarter to get Root into homes and schools around the world. You can support the campaign and get your own Root at a discounted price.

root-robot-draw


If you enjoyed this article, you may also want to read:

See all the latest robotics news on Robohub, or sign up for our weekly newsletter.



tags: , , ,


Zee Dubrovsky is the Co-Founder and CEO of Scansorial. Scansorial is a startup born out of Harvard University on a mission to make coding accessible for learners of any age...
Zee Dubrovsky is the Co-Founder and CEO of Scansorial. Scansorial is a startup born out of Harvard University on a mission to make coding accessible for learners of any age...

            AUAI is supported by:



Subscribe to Robohub newsletter on substack



Related posts :

Sony AI table tennis robot outplays elite human players

  22 Apr 2026
New robot and AI system has beaten professional and elite table tennis players.

AI system learns to keep warehouse robot traffic running smoothly

  20 Apr 2026
This new approach adapts to decide which robots should get the right of way at every moment, avoiding congestion and increasing throughput.

Robot Talk Episode 152 – Dexterous robot hands, with Rich Walker

  17 Apr 2026
In the latest episode of the Robot Talk podcast, Claire chatted to Rich Walker from Shadow Robot Company about their advanced robotic hands for research and industry.

What I’ve learned from 25 years of automated science, and what the future holds: an interview with Ross King

and   14 Apr 2026
Ross King created the first robot scientist back in 2009. He spoke to us about the nature of scientific discovery, the role AI has to play, and his recent work in DNA computing.

Robot Talk Episode 151 – Robots to study the ocean, with Simona Aracri

  10 Apr 2026
In the latest episode of the Robot Talk podcast, Claire chatted to Simona Aracri from National Research Council of Italy about innovative robot designs for oceanography and environmental monitoring.

Generative AI improves a wireless vision system that sees through obstructions

  08 Apr 2026
With this new technique, a robot could more accurately detect hidden objects or understand an indoor scene using reflected Wi-Fi signals.

Resource-constrained image generation and visual understanding: an interview with Aniket Roy

  07 Apr 2026
Aniket tells us about his research exploring how modern generative models can be adapted to operate efficiently while maintaining strong performance.

Back to school: robots learn from factory workers

  02 Apr 2026
A Czech startup is making factory automation easier by letting workers teach robots new tasks through simple demonstrations instead of complex coding.



AUAI is supported by:







Subscribe to Robohub newsletter on substack




 















©2026.02 - Association for the Understanding of Artificial Intelligence