Enhance your robotics projects with Raspberry Pi and SaraKIT, bringing AI-driven precision and control to the world of robotics!
 

Story

It wasn't easy. There are a few parameters described in the code that need to be manually adjusted depending on the vehicle's weight and mass distribution. It took me a few hours, but the result was fantastic. Thanks to the fast BLCD motors, it's genuinely challenging to tip over such a vehicle.

We control it using a smartphone or a computer; sample software in C++, Python, and Delphi will be available in our GitHub repository.
Remote Controller on GitHub: https://github.com/SaraEye/SaraKIT-RCCar-Remote-Controller

 

The robot is powered by a power bank. For mobile devices, we recommend a simple connection to the PowerBank (PD2.0 PD3.0 Fast Charging and QC4 with USB-C output) with a special PD 12v cable. Or by connecting a USB cable via USB-C Pd Trigger Module Pd 12v.

 
 
  • Two FOC gimbal motor drivers for BLDC motors
  • An accelerometer with a gyroscope
  • Support for motor encoders
  • 3 sensitive microphones for voice control
  • Two camera outputs for live streaming from a moving vehicle
  • The ability to connect power from easily available Power Banks (PD2.0 PD3.0 Fast Charging and QC4 with USB-C output) with a special PD 12v cable or by connecting a USB cable via USB-C Pd Trigger Module Pd 12v.

Additionally, you will need two BLDC gimbal motors, two encoders, two motor-to-brick adapters, and some building blocks. The design of the vehicle is up to you. The brick adapters can be easily 3D-printed (the relevant stl and obj files are included on our website) or purchased for a few dollars from our site.

This robot demonstrates the power of BLDC gimbal motors; it is very difficult to overturn, quiet, and fast, and does not require heavy loads to be placed high up.

You can find C++ and Python code for Raspberry Pi4 in the
SaraKIT Github repository:
https://github.com/SaraEye
https://github.com/SaraEye/SaraKIT-RCCar-Remote-Controller