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  • Dobot Magician Go Educational AGV AMR

Dobot Magician Go Educational AGV AMR

The Magician Go sets itself apart with its remarkable mobility, thanks to its mecanum wheels. These specialized wheels enable the robot to navigate not only forward and backward but also sideways and diagonally, as well as rotate in place without traditional steering. This unique feature allows for smooth and agile movement, making it especially useful in tight spaces where maneuverability is critical.


Adding to its navigation capabilities, the Magician Go comes equipped with a built-in odometer, providing real-time position data transmission. This feature ensures precise monitoring of the robot's movements, enabling users to plan and execute travel paths with accuracy. Additionally, a synthetic dynamic environment simulation enhances the user experience by allowing comprehensive monitoring of the robot's movement and facilitating efficient path planning.


To unlock advanced functionality, the Magician Go incorporates a locally deployed AI algorithm. This empowers the robot with capabilities such as image recognition, text recognition, and facial recognition, all without the need for a network connection. As a result, the robot can perform tasks like identifying roads, detecting street signs, recognizing pedestrians, and even operating its robotic arm while in motion.


The Magician Go seamlessly integrates with the DobotLab software, offering users the ability to create customized programs using Python and graphical programming. This flexibility allows users to fully harness the robot's potential and tailor its functionality to specific tasks and applications. Furthermore, the Magician Go supports various hardware modules that can work in harmony, enabling the execution of complex and customized tasks.


In terms of programming, the Magician Go offers a drag-to-teach programming feature, allowing users to intuitively teach the robot without extensive coding knowledge. It provides multiple programming options, including a graphical interface for effortless operation, graphical block programming similar to Scratch, scripting capabilities using languages like LUA, and compatibility with a wide range of APIs such as C, C#, Python, Kotlin, and more. These features ensure that users of all skill levels can easily learn and master the operation of the robot, making it accessible and adaptable to a diverse user base.

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