Posts tagged Robotics

Digital Twins on AMD: Building Robotic Simulations Using Edge AI PCs

Digital twins are becoming a core tool in robotics, automation, and intelligent systems. They provide a virtual representation of a physical system, allowing developers to validate robot behaviors, test motion strategies, and generate datasets before deploying anything in the real world.

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Building Robotics Applications with Ryzen AI and ROS 2

This blog showcases how to deploy power-efficient Ryzen AI perception models with ROS 2 - the Robot Operating System. We utilize the Ryzen AI Max+ 395 (Strix-Halo) platform, which is equipped with an efficient Ryzen AI NPU and iGPU. The Ryzen AI CVML Library is used to deploy supported models efficiently on the Ryzen AI platform. All of the code is available on GitHub in the AMD Ryzers repository and was originally presented at ROSCon’25.

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Fine-tuning Robotics Vision Language Action Models with AMD ROCm and LeRobot

This blog showcases training and deploying robotics policy models on AMD Instinct™ GPUs using ROCm with Hugging Face’s LeRobot framework. Recent advancements in Vision Language Action Models (VLAs) represent a breakthrough in robotics AI, combining computer vision, language understanding, and robotic control into unified architectures that can process visual observations, understand task descriptions, and generate precise motor commands.

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