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

- Company: Hugging Face (huggingface.co)
- Announced: 2026-03-05T14:16:49+00:00
- Subject: Platform
- Models affected: ACT, SmolVLA
- Source: https://huggingface.co/blog/nxp/bringing-robotics-ai-to-embedded-platforms
- Record: https://forck.live/items/1539-bringing-robotics-ai-to-embedded-platforms-dataset-recording-vla-fine-tuning

This guide presents NXP's hands-on best practices for recording reliable robotic datasets, fine-tuning VLA policies (ACT and SmolVLA), and highlights the real-time performance that NXP i.MX 95 SoC achieves after optimization. It covers dataset recording tips, use of gripper camera, prehension improvements, and diversity in data splits.

## Evidence

Verbatim from https://huggingface.co/blog/nxp/bringing-robotics-ai-to-embedded-platforms:

> This guide presents NXP’s hands‑on best practices for recording reliable robotic datasets, fine‑tuning VLA policies (ACT and SmolVLA), and hightlights the real-time performance that NXP i.MX 95 SoC achieves after optimization.

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Record: https://forck.live/items/1539-bringing-robotics-ai-to-embedded-platforms-dataset-recording-vla-fine-tuning
Catalogue: https://forck.live/llms.txt
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