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The Short Version Answer five scoping questions on data, training location, environment, mobility, and bimanual needs. Match your project to Stationary AI, Mobile AI, Solo AI, or modular WidowX AI arms. Size compute by task: light CPU for data collection, 8GB+ VRAM GPU for training, dedicated GPU for Pi0. Pick preloaded compute from Dell, System76, or ASUS, or bring your own meeting minimum requirements. Confirm your kit ships with leader/follower arms, Intel RealSense D405 c

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Learn how we have evolved Aloha to deliver more performance and more value than ever.

The Short Version Run zero-shot inference on Pi Zero (π0) using a Trossen Robotics Aloha Kit to verify real-world transfer. Provision a workstation with a 12th Gen Intel Core i9-12950HX, NVIDIA RTX A4500 16G, and 64G RAM. Install Ubuntu 22.04 and the required dependencies: PyTorch, CUDA, and Docker. Clone the official Pi Zero repository and apply the system optimizations and adjustments for Aloha. Deploy on the bimanual Aloha platform and execute dexterous tasks without addit

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