Features

• AI application practice equipment based on indoor service robot platform
• NVIDIA high-performance on-device AI platform is adopted for Brain board
• Touch display and high-resolution wide-angle camera for GUI-based user interface and deep learning are provided
• Gigabit Ethernet, dual-band Wi-Fi, and Bluetooth are provided
• Voice recognition and audio playback through digital microphone and speaker are possible
• Various IoT sensor modules through 4 dedicated expansion interfaces are supported
• The driving part adopts a 3-axis omni wheel to maximize the robot’s movement efficiency and minimize the turning radius
• For precise control of the driving part, controller equipped with a high-performance MCU controls omni wheel motor, encoder and sensor
• Connected via highly reliable CAN FD communication for collaboration between brain board and controller
• Built-in power path management circuit to make it possible to continue practicing even while the battery is charging
• Service robot development is supported through ROS2, robot standard middleware
• High-level Pop libraries enabling to focus on application implementation is provided
• CUDA-based PyTorch and Tensorflow artificial intelligence framework are supported
• Web browser-based Google block coding platform (Blockly) is supported
• Pre-set integrated development environment based on Visual Studio Code for professional application development is supported
• Deep learning-based service robot learning contents are provided
• On-device AI self-driving car training equipment