DJI RoboMaster TT Educational Drone

Unleash Your Creativity. As an educational drone developed by DJI Education, RoboMaster TT is committed to lowering the threshold for robot and AI learning, and cultivating students’ curiosity and self-confidence during their first contact with science and technology education. To meet this goal, RoboMaster TT embraces open source and has been upgraded on the basis of Tello EDU to facilitate multi-drone control and AI applications through excellent software and hardware scalability. In addition, RoboMaster TT provides complete drone and AI courses and a new competition system to create a new experience in robotics education and fully stimulate students’ creativity.

Outstanding Teaching Tool

• High-Performance Mechanical Accessories
• Powerful Compatibility Features and Abilities
• Introduction to Real-World AI Implementation

Teaching Resources

• Project-Based Courses
• Suitable for Multiple Grade Levels
• Aligns with Curriculum Standards

Competition Database

• Competition Rules and Operation Plans
• Customizable Competition Arrangements
• Practical Hands-On Learning

A Small Drone for Big Dreams

As the industry’s leading educational drone, RoboMaster TT delivers powerful flight performance with a compact footprint, and uses the cutting-edge DJI flight control algorithms to ensure flight safety and stability. It also has a 5MP HD camera, which delivers smooth and stable flight images. The newly added ESP32 open-source module and other programmable modules are combined with a diverse programming environment to create a professional drone education platform that is convenient for both teachers and students.

Open source, customizable gameplay

Built-in ESP32 open-source module: The built-in ESP32 chip provides the Arduino and Micro Python open-source programming environments, and supports the Arduino, Micro Python, graphical programming, and multiple offline programming methods. It creates an open-source flying hardware platform for students and teachers that makes it convenient for students to learn embedded programming and develop various applications of aerial robots.

Light flickering with the drone for a better visual experience

Programmable breathing indicator: When using RoboMaster TT with the RGB full-color LED indicator, you can control the light color and flashing frequency through graphical programming, Python, Arduino, and other programming methods. In this way, the programming result is more intuitive, and the flight effect is more impressive.

More innovations displayed on the screen

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

Distance measurement, obstacle avoidance, and intelligent awareness

Integrated ToF infrared ranging sensor: RoboMaster TT is integrated with a single-point ToF sensor, with the maximum measurement 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 stability of the drone connection and enables the drone 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 formation is enhanced.

Explore more possibilities

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

Born for the Future: More Creative and Intelligent

RoboMaster TT’s highly integrated open-source extension kit can be used together with its open camera video stream data to implement more diversified AI applications. In addition, by using the new RoboMaster SDK, cutting-edge AI technologies such as machine vision and deep learning can be used in the classrooms of primary and secondary schools. This makes AI more familiar, and enables learning through play for better results with more fun.

Supports External Third-Party Sensors

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

RoboMaster SDK Based on Python 3.0

With the Python 3.0 RoboMaster 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 give full play to your creativity.

Supported AI Applications

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

Outstanding Drone and AI

Education Solutions

Backed by innovative and powerful cutting-edge technologies, DJI Education has tailored a professional drone education platform for schools and training agencies. In addition, it has developed industry-leading drone and AI education solutions by combining a series of courses and professional competitions, helping bring students into the intelligent flight world.

Specifications

Drone module

Drone

• Take-off weight: 87 g (including the propeller blades, propeller blade protector, and batteries)
• Dimensions: 98×92.5×41 mm
• Propeller blade: 3”
• Built-in functions: Infrared height determination, barometer, LED indicator, downward vision sensor, Wi-Fi, and HD 750P image transmission
• Interface: Micro USB charging port

Flight performance

• Maximum flight distance: 100 m
• Maximum flight speed: 8 m/s
• Maximum flight time: 8 min
• Maximum flight height: 30 m

Battery

• Removable battery: 1.1 Ah/3.8 V

Camera

• Image: 5 MP
• FoV: 82.6°
• Video: HD720P30
• Format: JPG (for images) and MP4 (for videos)
• Electronic image stabilization: Supported

Extension accessory

Open-source controller

• Weight: 12.5 g (including the open-source controller and ranging dot-matrix screen)
• Dimensions: 49.5×32×15.2 mm
• Operating mode: AP and Station modes
• Wi-Fi frequency band: 2.4 GHz and 5.8 GHz
• Bluetooth: 2.4 GHz
• MCU: ESP32-D2WD, dual-core at 160 MHz, 400 MIPS
• Open source: Supports SDK development, Arduino, graphical programming, and MicroPython programming.
• Scalability: 14-pin extended interface (for I2C, UART, SPI, GPIO, PWM, and power supply)
• Programmable LED indicator: Full-color LED

Ranging dot-matrix screen extension module

• Dimensions: 35.3×31.5×8.6 mm
• Programmable dot-matrix LED indicator: 8×8 red-and-blue indicator
• Dot matrix driving function: IIC interface, automatic dot matrix scanning, 256-level adjustable overall brightness, and 256-level adjustable single-LED brightness
• Ranging module: Infrared distance sensor (ToF)
• Maximum distance measured: 1.2 m (indoor with white targets)
• Adapter extension board
• DIY adaptation: 14-pin extended interface to the 2×7-pin 2.54-mm in-line pad, 2 power indicator positions, and 2 debugging indicator positions

Others

Remarks

• The maximum flight time of the drone without any extension accessories. The maximum flight time is 8 minutes and 30 seconds when the extension accessories are installed.

In The Box

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