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by TaylorAlexander
1196 days ago
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The NVIDIA Jetson boards are popular, but even with a full desktop processor and state of the art GPU, you can easily down them in data from a LIDAR sensor or a few cameras. Especially since robots may also need fast response times. There is another reply to your comment that shares a lot of what I have experienced. You have so many pieces of code that need to run and a good handful of them are working on something like LIDAR point clouds with a million 3D points in them, plus some cameras running several different image recognition and segmentation algorithms, and you want to have fast cycle times, it just all adds up. Every serious robot I have ever worked on is maxing out its system, even ones at Google X with a full desktop CPU, a high end NVIDIA graphics card, and a couple secondary ARM CPUs. |
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That definitely helps me understand why the footage of the robots in this video had to be sped up: https://youtu.be/Ybk8hxKeMYQ