[Dual Controller]: The sub-controller is ESP32, responsible for accurate motor PID control and multiple sensor data reading, the host controller, Raspberry Pi 4B or 5, provides high-level computing power, and the dual-controller architecture allows the robot to operate more efficiently.
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[Open-source Demo Code]: The host is based on the latest Raspberry Pi system (Debian Bookworm), and the WEB application is based on Flask, Python, and all open-source software platforms, easier for users to study and for secondary development.
[Rich Tutorials]: Providing a wealth of JupyterLab interactive tutorials, graphic tutorials, and video tutorials, from introductory features to advanced features, users can learn how to control their robots while watching the tutorials, lowering the learning curve of robotics for beginners.
[Wide Viewing Angle]: Equipped with 2DOF high-torque flexible pan-tilt, provide 360° omnidirectional observing angle, comes with 160° ultra-wide 5MP camera, capturing more extensive images.
[Robot Vision Function]: Integrates robot vision functions such as color, object, gesture recognition, face recognition, and motion detection, expanding for more applications.
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[Cross-platform Remote Control]: Support cross-platform remote control, no need to install APP. You may need to use a Tunneling Service such as Ngrok, Cpolar, or LocalTunnel to expose the local network service of the robot (Flask application) to the Internet so that you can control the robot from anywhere.
[Expandability]: The structure is equipped with a mounting plate and a Picatinny rail, which is convenient for expanding other tactical accessories; on the hardware, it reserved LED ports for expanding other peripherals, and also supports attaching with 4G and 5G modules, which makes it convenient for users to realize more possibilities.
