AI应用程序练习设备基于室内服务机器人平台NVIDIA高性能AI平台用于脑板触摸显示和用于GUI基于GUI的用户界面和深度学习的高分辨率广角摄像头,并通过Digital Modio和Audio Modile提供了多种多样的型号,并提供了千兆以太网,可提供多种多样的型号。 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培训设备
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