The RoboMaster TT (Tello Talent) is a fantastic way for students to start to learn about AI and how they integrate with robotics. It delivers powerful flight performance with a compact footprint and uses the cutting edge DJI flight control algorithms to ensure flight safety and stability.
Unleash Your Creativity with the 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.
DJI Education
DJI Education hopes to use cutting-edge technologies to explore everyone's potential and cultivate talents that lead the future and make it easy for children to use these technologies.
Specifications
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
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