# Robotics preprint reports lower video bandwidth and higher task success

_Published Thursday, November 5, 2026 at 9:50 PM EST · Robotics, Science, AI · Latest · Tier 2 — Notable_

Researchers report a video compression method that uses a robot's known motion to reduce the camera bandwidth needed by remotely hosted control models. In a preprint, they report 23.9% lower bit rate than a capacity-matched codec conditioned on video history, and 40-56% lower bit rate than x264, x265 and SVT-AV1 on LIBERO.

Both ends use joint states, the robot model and camera calibration to predict image changes without transmitting an additional conditioning signal. At 6 kbps, OpenVLA-OFT task success rose from 22.8% to 43.1%; pi_0.5 success rose from 55.5% to 77.4%. These task results come from benchmark evaluations; the authors separately report transfer to real robot data.

## Sources

- [arXiv Query: search_query=cat:cs.RO&id_list=&start=0&max_results=30](https://arxiv.org/abs/2611.07411v1)

---
Canonical: https://techandbusiness.org/newswire/JrsBue_Vo0YoqHmZc2DXoL
Published: 2026-11-06T02:50:51.124Z
Story chronology: 2026-11-05T04:04:01.000Z
Retrieved: 2026-11-06T22:50:57.404Z
Publisher: Tech & Business (techandbusiness.org)