Alpha Mini humanoid educational robot

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Teachers of middle school students sometimes struggle to find good ways to spark interest in STEM subjects. Since we live in a digital age, this Alpha Mini humanoid educational robot is the perfect solution to this problem. It can help you learn many topics in an original way, while also giving students a chance to learn programming quickly.
The Alpha Mini educational robot is by no means just a toy, as it can use AI (artificial intelligence) to communicate, move and recognize faces and objects. He will prove to be an invaluable assistant during various teaching activities. He can give personalized lessons for individual students or small groups of students. Because it's programmable, you can use it to organize a variety of writing, reading, history, and math activities. In addition, students can help you program the robot to discover even more about mechanics and computer science.

The humanoid educational robot Alpha Mini has been designed to interact both naturally and intuitively. For example, he has a facial recognition system that allows him to seamlessly track the person he is currently interacting with. Thanks to his human-like behavior and facial expressions (he can even sneeze!), children will easily and quickly bond with him. Much more than a robot, Alpha Mini will quickly become a faithful learning companion for your students.

The Alpha Mini humanoid educational robot is fully programmable. This means you can customize its actions based on the lessons and exercises you want to present to your students. For this, it is equipped with ROSA, an open platform that integrates the Android SDK. With ROSA, you can easily add the apps and documents of your choice, then allow Alpha Mini to assist you during your classes. The ability to add different educational materials in this way will allow you to cover different topics. Students have access to a variety of learning resources and can even discover how to program the Alpha Mini to better understand robotics. It is programmed using a Scratch-like block interface, can detect obstacles with its infrared sensor, and recognizes 75 English voice commands.