Bringing Robotics AI to Embedded Platforms: Dataset Recording, VLA Fine‑Tuning, and On‑Device Optimizations

This guide details the end-to-end process of deploying Robotics AI on embedded platforms, covering dataset recording methodologies, Vision-Language-Action (VLA) model fine-tuning techniques, and critical on-device optimization strategies for efficient real-world operation. The approach enables intelligent robotic behavior directly on resource-constrained hardware without continuous cloud dependency.