Chinese drone maker DJI today launched the programmable drone RoboMaster TT Creativity Kit, a drone education platform designed for teaching scenarios in schools and training institutions.
The platform's accompanying Artificial Intelligence series of courses and new competition system will provide teachers with professional drone and AI education solutions.
The RoboMaster TT is based on Tello EDU and is upgraded with hardware and software extensions to enable multi-device collaborative control and multiple AI applications.
As an educational tool, the RoboMaster TT is equipped with DJI's industry-leading flight control algorithms.
It supports 5.8G WiFi band, which provides better anti-jamming capability, accurate hovering and low battery alert during flight.
The RoboMaster TT also provides the necessary blade protection, through the physical and software layers to ensure the safety and stability of the RoboMaster TT flight.
The RoboMaster TT is equipped with an ESP32 chip that provides the Arduino and Micro Python open source programming environments.
It supports Arduino, Micro Python, graphical programming and a variety of offline programming methods, as well as I2C, SPI, UART and GPIO programmable sensor interfaces.
The new RoboMaster SDK, developed based on Python 3.0, allows cutting-edge technologies such as machine vision and deep learning to easily enter the classroom.
RoboMaster TT has its own sensor adapter module, which can be used to power third-party sensors.
By adding different third-party sensors, it is possible to implement artificial intelligence applications such as environment perception, auto-following, gesture recognition and palm control.
The SDK also allows users to interact with the RoboMaster TT and RoboMaster EP, making spatial applications possible and further unleashing creativity.
RoboMaster TT supports Wi-Fi AP mode, which allows multiple RoboMaster TTs to connect to a WiFi router at the same time, receiving commands from the programming code and providing feedback to synchronize the state of multiple drones, thus enabling collaborative control of multiple drones.
With the help of graphical programming, Python and other programming languages, students can write their own multi-machine teaming programs.
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