Open source, customizable gameplay

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.
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

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.
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

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.
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

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.
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

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.
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

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.
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.
Environmental perception
Facial recognition and auto-follow
Gesture recognition
Palm control
Use the infrared ranging technology and obstacle information data to perceive the environment and draw indoor maps. You can learn about the indoor robot navigation technology and automatic obstacle avoidance.
Obtain the video stream for facial recognition and tracking. You can learn cutting-edge AI technologies, such as machine vision, deep learning, and convolutional neural network.
Use gesture recognition sensors and program the drone to obtain gesture information and control actions of the drone. You can learn how the sensor data is read (where separate sensors are required), and implement man-drone interaction.
Based on the obtained knuckle movement posture information, develop a program to establish a connection between palm postures and flight actions, and implement palm control (where separate sensors are required). You can understand and learn about microelectronics technology and sensor characteristics.

Safer

Safer

RoboMaster TT adopts a safety-first design and incorporates the following physical and software protection methods to ensure user flight safety: blade protection, precise hovering, and low-battery alarming.
RoboMaster TT adopts a safety-first design and incorporates the following physical and software protection methods to ensure user flight safety: blade protection, precise hovering, and low-battery alarming.

Stabler

Stabler

RoboMaster TT uses the new 5.8-GHz Wi-Fi module, which features a lower signal transmission delay and better anti-signal-interference performance. On this basis, the multi-drone formation process and experience become smoother.
RoboMaster TT uses the new 5.8-GHz Wi-Fi module, which features a lower signal transmission delay and better anti-signal-interference performance. On this basis, the multi-drone formation process and experience become smoother.

Simpler

Simpler

RoboMaster TT supports using graphical programming, Python, and other programming languages for multi-drone formation programming. In addition, students can use the app to easily and quickly set up simple multi-drone formation.
RoboMaster TT supports using graphical programming, Python, and other programming languages for multi-drone formation programming. In addition, students can use the app to easily and quickly set up simple multi-drone formation.

More impressive

More impressive

With the programmable LED indicators, music, and actions, RoboMaster TT can change lighting colors and their frequencies, delivering an even more impressive multi-drone formation effect.
With the programmable LED indicators, music, and actions, RoboMaster TT can change lighting colors and their frequencies, delivering an even more impressive multi-drone formation effect.

More fun

More fun

With the programmable dot-matrix screen, RoboMaster TT can change patterns on the dot-matrix screen during multi-drone formation to convey unique ideas.
With the programmable dot-matrix screen, RoboMaster TT can change patterns on the dot-matrix screen during multi-drone formation to convey unique ideas.
AI Competition
Air-Ground Operation
Maze Race
Develop a program to control the drone to automatically cross obstacles and select the correct landing position to implement accurate landing based on the image recognition results.
Knowledge points: image recognition and PID control
The drone conducts reconnaissance in the air and sends the location information to the unmanned vehicle. The unmanned vehicle automatically arrives at the destination and transports materials.
Knowledge points: image recognition, air-to-ground communication, and route planning
Develop a program to enable the drone to automatically explore a way out in a maze with random routes. The maze also contains mission pads with hidden tasks.
Knowledge points: indoor positioning, ToF sensor usage, intra-maze searching, and programmable dot-matrix screen

Teacher Training

Holiday Camp

Drone Classroom

Robotics education solution

Drone education solution

AI lab solution

DJI education platform

Unleash Your Creativity

  • Flying Open-Source Hardware
  • Artificial Intelligence Education
  • Multiple Drones Coordination Control

Contact us

RoboMaster TT is sold through DJI dealers. Please contact your local dealer, or leave your contact information below so that we can contact you.