{
  "id": 14274252,
  "title": "How GroundingPI Slashes Robot Vision Latency to 5 ms – The Future of Physical Intelligence",
  "url": "https://urgent.news/2026/10/13/how-groundingpi-slashes-robot-vision-latency-to-5-ms-the-future-of",
  "topic": "ai",
  "section": "AI",
  "published": "2026-10-13T19:29:33.000Z",
  "source": {
    "name": "Dev.to",
    "slug": "dev-to",
    "url": "https://dev.to/amrithesh_dev/how-groundingpi-slashes-robot-vision-latency-to-5-ms-the-future-of-physical-intelligence-22l0"
  },
  "original_language": "en",
  "account": null,
  "summary": "GroundingPI has introduced a novel approach to robot vision latency, achieving an impressive 5 ms output of pixel-perfect box coordinates using a single A100 GPU. The key to this breakthrough is the visual-primitive tokenisation technique, which turns localisation into a language-style token-generation problem, allowing for deterministic, ultra-low-latency outputs that fit seamlessly into closed-loop control pipelines. The release comes with a Hugging Face repository, a live notebook, and an ROS-compatible example, enabling researchers and developers to experiment and integrate the technology into their own systems. The paper emphasizes the new technical primitive of quantised point and box tokens, a developer-first ecosystem including public weights, an API, ROS bridge, and ONNX export, and real-world performance that outperforms most vision-language-action models in pick-and-place tasks.",
  "key_points": [],
  "editors_take": null,
  "illustration": null,
  "coverage": {
    "outlets": 1,
    "also_reported_by": []
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}