Product 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