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uKit STEAM EDUCATION
FIRST STEP IN AI EDUCATION
uKit is programmable building block kit which allows students to easily access the coding world with its APP dynamic instruction and hundreds of parts which can be combined into many different models.
Explore development board
The development board is an open source hardware platform designed by UBTECH for uKit building blocks, compatible with Arduino Mega 2560. At the same time, support C/C++ and Blockly programming. The steering gear of uKit can be controlled to realize wheel mode and steering mode, board-borne buzzer, RGB multicolor lamp, button and gyroscope and other rich expansion interfaces. Supporting USB and lithium battery power supply and lithium battery charging on board are the best choice for mobile devices, wearable electronics, and can be directly applied to low-power projects. In addition, the uKit Explore development board also has a wealth of peripherals, ADC, I2C, I2S, SPI, UART, and programming methods fully compatible with Arduino IDE programming and uKit Explore graphics programming software
uKit Explore is an integrated education solution including building blocks, Arduino-compatible controller, user-friendly development environment, and curriculum for maker skills education. It is the first humanoid robot kit based on Arduinocompatible controller in the world.
uKit Explore families are designed for maker education and competitions.
From game-based learning to project-based learning, as well as from graphics-based programming to text-based programming, uKit Explore builds the connections between maker education and technical products.
Through skill training with uKit Explore solution, students will gain knowledge on circuits, open source hardware, programming, and physical computing, as well as how to solve a practical problem with what you have learnt through hands-on experience.
uKit Explore
Sensors are the "sense organs" of robots, which can make robots feel the surrounding environment and react. With the comprehensive application of various sensors, students can learn and apply the AI algorithm of machine perception in IoT, robot controlling, etc.
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