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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.
Robomaster TT VS Tello EDU
1. Programming Methos
Tello EDU supports block programming.
Robomaster TT supports the Arduino, Micro Python, graphical programming, and multiple offline programming methods.
2. Swarm Flying
Tello EDU supports 2.4 GHz 802.11n Wi-Fi, You can program 4 Tello EDUs simultaneously at most.
Robomaster TT supports 2.4GHz/5GHz Wi-Fi, and HD 750P image transmission. You can program 16 Tello EDUs simultaneously at most.
3. More Creative and Intelligent
Tello EDU has no expansion kit
Robomaster TT has the expansion kit on the basis of Tello edu. With expansion kit, Robomaster TT is more creative and intelligent than Tello edu in the following ways:
1. 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.
2. Robomaster tt has more intuitive and impressive flight effect.
Robomaster TT has programmable breathing indicator and an 8×8 red-and-blue LED dot-matrix screen: you can control the light color, flashing frequency, various simple patterns, simple animations, or scrolling characters through graphical programming, Python, Arduino, and other programming methods.
3. Intelligent obstacle avoidance
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.
Shipping Policy
1、Order Payment above 1000 USD: The delivery time is 20 days after payment and free shipping from DJI China.
2、Order Payment below 1000 USD: The delivery time is 7 days after payment and shipping from USA warehouse, 60 USD shipping fee needed.
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
All-New Product 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.
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.
RoboMaster TT supports the Station mode. Therefore, multiple RoboMaster TT devices can be connected to the same Wi-Fi router, receive programming code instructions, and provide feedback, implementing status synchronization and control of multiple drones. You can use the drone for various purposes during teaching, competition, or performance.
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.
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.
Robomaster TT VS Tello EDU
1. Programming Methos
Tello EDU supports block programming.
Robomaster TT supports the Arduino, Micro Python, graphical programming, and multiple offline programming methods.
2. Swarm Flying
Tello EDU supports 2.4 GHz 802.11n Wi-Fi, You can program 4 Tello EDUs simultaneously at most.
Robomaster TT supports 2.4GHz/5GHz Wi-Fi, and HD 750P image transmission. You can program 16 Tello EDUs simultaneously at most.
3. More Creative and Intelligent
Tello EDU has no expansion kit
Robomaster TT has the expansion kit on the basis of Tello edu. With expansion kit, Robomaster TT is more creative and intelligent than Tello edu in the following ways:
1. 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.
2. Robomaster tt has more intuitive and impressive flight effect.
Robomaster TT has programmable breathing indicator and an 8×8 red-and-blue LED dot-matrix screen: you can control the light color, flashing frequency, various simple patterns, simple animations, or scrolling characters through graphical programming, Python, Arduino, and other programming methods.
3. Intelligent obstacle avoidance
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.
Shipping Policy
1、Order Payment above 1000 USD: The delivery time is 20 days after payment and free shipping from DJI China.
2、Order Payment below 1000 USD: The delivery time is 7 days after payment and shipping from USA warehouse, 60 USD shipping fee needed.
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
All-New Product 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.
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.
RoboMaster TT supports the Station mode. Therefore, multiple RoboMaster TT devices can be connected to the same Wi-Fi router, receive programming code instructions, and provide feedback, implementing status synchronization and control of multiple drones. You can use the drone for various purposes during teaching, competition, or performance.
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.
Take-off weight | 87g (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 |
Maximum flight distance | 100 m |
Maximum flight speed | 8 m/s |
Maximum flight time | 8 min[1] |
Maximum flight height | 30 m |
Removable battery | 1.1 Ah/3.8 V |
Image | 5MP |
FoV | 82.6° |
Video | HD720P30 |
Format | JPG (for images) and MP4 (for videos) |
Electronic image stabilization | Supported |
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 |
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) |
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 |
[1] 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. |
Take-off weight | 87g (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 |
Maximum flight distance | 100 m |
Maximum flight speed | 8 m/s |
Maximum flight time | 8 min[1] |
Maximum flight height | 30 m |
Removable battery | 1.1 Ah/3.8 V |
Image | 5MP |
FoV | 82.6° |
Video | HD720P30 |
Format | JPG (for images) and MP4 (for videos) |
Electronic image stabilization | Supported |
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 |
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) |
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 |
[1] 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. |
What is the relationship between RoboMaster TT and Tello EDU?
RoboMaster TT is a brand new education drone customized based on Tello EDU. After being launched, RoboMaster TT will be used with other RoboMaster-series products, including RoboMaster S1 and RoboMaster EP, to empower basic science and technology education and provide education solutions for schools and institutions.
Are there any learning courses for this product?
Learning courses and educational courseware for this product are available at www.edu.dji.com. For paid courses, contact your local dealer.
I do not know how to program. Can I use RoboMaster TT for teaching?
Learning courses and educational courseware for this product are available at www.edu.dji.com. For paid courses, contact your local dealer. With these materials, teachers can conduct educational activities efficiently. In addition, the Tello EDU app provides rich teaching resources to help beginners with zero programming background get started quickly.
For which grade levels is this product applicable?
We recommend that this product be used for educational activities in primary and secondary schools. It can also be used for higher education.
Which programming languages are supported by RoboMaster TT?
RoboMaster TT supports a variety of programming languages, including graphical programming, Python, Micropython, and Arduino. It also provides the open plain-text SDK.
Does RoboMaster TT support secondary development?
Yes. RoboMaster TT has a built-in ESP32 chip, which 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.
What is the relationship between RoboMaster TT and Tello EDU?
RoboMaster TT is a brand new education drone customized based on Tello EDU. After being launched, RoboMaster TT will be used with other RoboMaster-series products, including RoboMaster S1 and RoboMaster EP, to empower basic science and technology education and provide education solutions for schools and institutions.
Are there any learning courses for this product?
Learning courses and educational courseware for this product are available at www.edu.dji.com. For paid courses, contact your local dealer.
I do not know how to program. Can I use RoboMaster TT for teaching?
Learning courses and educational courseware for this product are available at www.edu.dji.com. For paid courses, contact your local dealer. With these materials, teachers can conduct educational activities efficiently. In addition, the Tello EDU app provides rich teaching resources to help beginners with zero programming background get started quickly.
For which grade levels is this product applicable?
We recommend that this product be used for educational activities in primary and secondary schools. It can also be used for higher education.
Which programming languages are supported by RoboMaster TT?
RoboMaster TT supports a variety of programming languages, including graphical programming, Python, Micropython, and Arduino. It also provides the open plain-text SDK.
Does RoboMaster TT support secondary development?
Yes. RoboMaster TT has a built-in ESP32 chip, which 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.