The VinciBot MatataStudio is an educational robot for children aged 8 and over, featuring 8 sensors, 3 pre-configured modes that can be used without coding, Scratch and Python programming, TinyML, IoT and over 4 hours’ battery life on a 1500 mAh battery.
Compatible with LEGO and third-party modules, can be combined with other VinciBots, comes with 17 coding scenarios and access to over 75 guided activities on vinci.matatastudio.com.
The MatataStudio VinciBot is an educational robot for children aged 8 and over, covering block-based programming with Scratch, the Python language, AI, TinyML and IoT via the online platform vinci.matatastudio.com. It features 8 sensors, an LED matrix, a patented RGB structure, 21 musical instrument sounds and an erasable marker for precision drawing. Three modes are pre-configured and can be used straight away without any coding knowledge: line following, precision drawing and infrared remote control.
Its 1500 mAh battery provides over 4 hours of runtime. It is compatible with LEGO bricks, Technic motors and third-party electronic modules. Several VinciBots can be combined to create shapes and collaborative projects. A booklet containing 17 coding scenarios is included in the box, and over 75 guided activities are available on the platform. The motor has been tested for 3,000 hours of use and the robot has passed over 20 professional certifications and tests, including 50,000 button-press tests.
VinciBot MatataStudio, 8 sensors, Scratch and Python, 3 ready-to-use modes, 4 hours’ battery life, 17 case studies included, and compatible with LEGO and TinyML – suitable for ages 8 and over.

Straight out of the box, the child places the VinciBot on the line-following track and activates it straight away without any programming. They then slide the washable marker into the holder and programme a few blocks in MatataCode to draw a geometric shape. For more advanced users, they can open the vinci.matatastudio.com platform, select one of the 75 available case studies and programme a TinyML object recognition model from scratch right through to its deployment on the robot.

