Trendora

ACT

Hold

Techniques

A robot policy learning approach used for fine-tuning action generation.

Why it's here

Placed in Hold: 1 article(s) of evidence from 1 source(s), led by research-stage coverage, with 0 in the last 30 days. Confidence 24%. Low accumulated evidence, so it defaults conservatively pending more signal.

Evidence (1)

  • 5Hugging Face Blog·3/5/2026research
    NXP Guide to Running Robotics AI on Embedded Platforms

    NXP published a guide on moving Vision-Language-Action robotics models onto embedded platforms, focusing on dataset recording, fine-tuning, and real-time deployment constraints. The article highlights best practices such as fixed cameras, controlled lighting, gripper-mounted cameras, and asynchronous inference, and references performance results on the i.MX 95 SoC.