A palm-sized dog works with OpenCat

Described as small but agile, it is a small robot that can be programmed to walk, do tricks and roll almost like a real dog. Think of it as a more attractive version of the headless robot robot, Spot.

Apparently designed to be a bit of coding fun, it’s actually powered by OpenCat (yes, there was a cat version) that is compatible with the Arduino and Raspberry Pi four-legged robotic pet frame developed by Petoi itself. Basically, you can start with block-based Scratch-like programming and move on to advanced coding with the Arduino IDE and C ++ / Python.

In terms of electronics included, Bittle is powered by NyBoard V1, a custom Arduino Uno board with additional peripherals. This can control up to 12 PWM servomotors, and the IMU (inertial measurement module) is used for balancing.

You assemble the dog yourself without the need for screws.

The creators write:

“Developing with an open source gene, Bittle is built on Petoi’s open source platform, specifically for quad robots. Bittle’s dynamic maneuverability and behavior are features commonly found in luxury robots, but Petoi’s technology now makes it accessible to more users.

“With a custom Arduino board that coordinates all instinctive and complex movements, users can attach various smart sensors to Bittle or mount Raspberry Pi or other AI chips via wired / wireless connections to inject artificial intelligence perception and capabilities. Bittle can be configured and controlled using Petoi’s official mobile app.

Its price is £ 299.99 from Amazon.co.uk, with an extra battery pack – for longer walkie-talkies – worth £ 39.99 and a camera module worth another £ 59.99. The pre-built version of the dog will cost £ 309.

You can see the frequently asked questions of Petoi about more information.

By the way, we hope to create a composition with Petoi Bittle as a prize, so stay tuned.

Kickstarter

We first wrote about Petoi Bittle in 2020, when his KickStarter campaign was highlighted.

He broke his funding goals, if you can’t guess. IN project raised $ 567,218 from 2,052 supporters.