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.