Drone DJI RoboMaster Tello Talent

DJI RoboMaster Tello Talent: educational programming drone and AI

RoboMaster TT is an educational drone from DJI designed to reduce barriers to learning about robots and artificial intelligence and to boost students' interest and confidence in their first interaction with science and technology education. RoboMaster TT has been enhanced based on Tello EDU to support multiple drone control and artificial intelligence applications with exceptional software and hardware scalability to achieve this goal.

RoboMaster TT also includes comprehensive drone and AI courses, as well as a new competition system, to provide a unique robotics learning experience and completely stimulate students' creativity.

Outstanding teaching tool: high-performance mechanical accessories, powerful and compatible features and capabilities, and introduction to real-world AI implementation.
Educational Resources: Project-based courses, tailored to multiple grade levels and aligned with curriculum standards.
Competition Database: Competition rules and operation plans, customizable competition layouts, and hands-on learning.
The RoboMaster Tello Talent drone offers tremendous flight performance in a small package, and uses DJI's advanced flight control algorithms to ensure safe and stable flight. It also includes a 5-megapixel HD camera that produces smooth and reliable flight photos. The recently introduced open-source ESP32 module, along with other programmable modules, are combined with a diverse programming environment to provide a professional drone teaching platform that is easy to use for instructors and students.

DJI RoboMaster Tello Talent Features

Open source, customizable gameplay

Embedded ESP32 open source module: The embedded ESP32 chip provides Arduino and Micro Python open source programming environments, and supports Arduino, Micro Python, graphical programming and multiple offline programming methods. It creates an open source flying hardware platform for students and teachers, which allows students to learn embedded programming and develop various aerial robot applications.

Light flicker with the drone for a better visual experience

Programmable Breathing Indicator: When using RoboMaster TT with the multi-color RGB LED indicator, you can control the light color and flashing frequency through graphic programming, Python, Arduino and other programming methods. In this way, the result of programming is more intuitive, and the flying effect is more impressive.

More innovations displayed on the screen

Programmable dot matrix display: RoboMaster TT has an 8×8 red and blue LED dot matrix display. You can use graphical programming, Python, Arduino and other programming methods to display various simple patterns, simple animations or scrolling characters on the dot matrix screen. Based on this, the matrix display offers more possibilities for human-drone interaction.

Distance measurement, obstacle avoidance and intelligent awareness

Built-in ToF infrared telemetry sensor: RoboMaster TT is integrated with a single point ToF sensor, with a maximum measuring distance of 1.2 meters. The drone is suitable for a range of applications in various teaching scenarios, and can implement environmental perception and intelligent obstacle avoidance.

Highly stable dual-band communication

New 5.8 GHz Wi-Fi module: This module supports 2.4-GHz/5.8-GHz dual-band communication, which greatly improves the drone's connection stability and enables it to better adapt to its environment. The drone can fly smoothly in complex Wi-Fi environments. In the classroom teaching scenario, more drones can be connected simultaneously than before, and the stability of multi-drone training is improved.

Explore more possibilities

Adapter Expansion Board: It provides the 2×7-pin 2.54mm inline package interface, supports I2C, SPI, UART and GPIO programming protocols, and provides 5-V/3.3-V power supply. With this board, you can easily add and debug new sensors for more creative ideas.

Drone DJI RoboMaster Tello Talent: possibilities and compatibilities

Support for external third-party sensors

RoboMaster TT comes with a sensor adapter, which provides power for third-party sensors. DJI's official SDK is also available for all users to support multiple programmable sensor interfaces, such as I2C, SPI, UART and GPIO. Students can easily extend the sensors and develop programs to produce more AI applications.

RoboMaster SDK based on Python 3.0

With the RoboMaster Python 3.0 SDK, you can easily learn the Python language and program to control drones. You can also use the SDK to create your own applications, implement the interaction between RoboMaster TT and RoboMaster EP, develop your own AI algorithms, and let your creativity run wild.

Supported AI applications

By adding different third-party sensors to RoboMaster TT, you can customize a variety of creative games.

DJI Tello Talent drone control

• Safer: RoboMaster TT adopts a safety-oriented design and incorporates the following physical and software protection methods to ensure the user's flight safety: blade protection, precise hovering and low battery alarm.
• More stable: RoboMaster TT uses the new 5.8 GHz Wi-Fi module, which features lower signal transmission delay and better anti-interference performance. Based on this, the process of training multiple drones and the experience becomes smoother.
• Easier: RoboMaster TT allows the use of graphical programming, Python and other programming languages for multi-drone training. In addition, students can use the application to easily and quickly set up a simple multi-drone training.
• Even more impressive: With LED indicators, music and programmable actions, RoboMaster TT can change the lighting colors and their frequencies, providing an even more impressive multi-drone training effect.
• More fun: With the programmable matrix display, RoboMaster TT can change the patterns on the matrix display during multi-drone training to convey unique ideas.

DJI Tello Talent at school: courses and lessons

Multidisciplinary integration

The courses integrate science and technology education with mathematics and English, and theoretical learning with practical research. They implement the STEAM educational approach and allow students to bring together all the knowledge they have acquired and understand it in depth through the multidisciplinary and interdisciplinary teaching process.

Project-based exploration

Using real-world problems as context, courses guide students to take the initiative to explore solutions, cultivate logical thinking, develop teamwork skills, and enhance their problem-solving abilities through project-based exploration activities.

Constructivism

Based on Piaget's theory of cognitive development, courses design learning sections that match students' psychological characteristics and the laws of cognitive development, and combine real-world applications with programming skills so that students can acquire new knowledge from specific scenarios.

Interest-based

The courses encourage students to learn about drones and programming independently in a fun educational environment, opening up more opportunities for the future.