NVIDIA announced the Jetson Nano Developer Kit and JetBot at the 2019 NVIDIA GPU Technology Conference (GTC), a $99 computer available now for embedded designers, researchers, and DIY makers, delivering the power of modern AI in a compact, easy-to-use platform with full software programmability.
The newly released JetPack 4.2 SDK provides a complete desktop Linux environment for Jetson Nano based on Ubuntu 18.04 with accelerated graphics, support for NVIDIA CUDA Toolkit 10.0, and libraries such as cuDNN 7.3 and TensorRT 5.
Jetson Nano can run a wide variety of advanced networks, including the full native versions of popular ML frameworks like TensorFlow, PyTorch, Caffe/Caffe2, Keras, MXNet, and others. These networks can be used to build autonomous machines and complex AI systems by implementing robust capabilities such as image recognition, object detection and localization, pose estimation, semantic segmentation, video enhancement, and intelligent analytics.
With JetBot, you learn not only the training and deployment of deep learning models, but also how to collect a dataset.
With the help of JetBot, we can run through the full workflow for teaching the robot to avoid collisions by labeling images captured using the onboard camera.
Source: https://blogs.nvidia.com/blog/2019/03/26/jetbot-diy-autonomous-robot/
