# Robot control preprint reports up to 2.3x faster policy inference

_Published Wednesday, October 14, 2026 at 10:07 PM EDT · Robotics, Science · Latest · Tier 2 — Notable_

Researchers report that a training-free method called PICES cuts robot policy inference time by up to 2.3x on Jetson Orin and Thor while improving task success relative to fixed-horizon baselines. The arXiv preprint describes tests in simulation and real-world manipulation tasks.

Models that translate images and language into actions ordinarily execute a fixed number of predicted actions before calculating again. PICES compares candidate action sequences with slightly perturbed counterparts, then selects both a sequence and how many actions to execute before recalculating. The reported speedup measures policy inference time rather than total task completion time.

## Sources

- [arXiv Query: search_query=cat:cs.RO&id_list=&start=0&max_results=30](https://arxiv.org/abs/2610.19656v1)

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Canonical: https://techandbusiness.org/newswire/6yVh7lPeINZDUVavnbYzow
Published: 2026-10-15T02:07:18.340Z
Story chronology: 2026-10-14T06:31:06.000Z
Retrieved: 2026-10-15T04:37:56.249Z
Publisher: Tech & Business (techandbusiness.org)