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REA: A Routed Embodied Agent Runtime for Asynchronous Brain-Cerebellum Control

Paper recorded by Signals 4 on 2026-10-30 in cs.CV. Abstract reproduced from arXiv; link to the original below.

Published 2026-10-30 on arXiv · recorded by Signals 4 on 2026-11-02

Category: cs.CV · 计算机视觉 · first seen 2026-11-02

Abstract

Foundation models are becoming remarkably reliable at high-level reasoning, yet they remain too slow and costly to serve as fine-grained controllers. Conversely, fast policies like VLAs and whole-body controllers offer more efficient reflexes, but struggle to generalize. While pairing a deliberative brain (foundation models) with a reactive cerebellum (fast policies) seems natural for embodied sys

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#39 most recent of 710 cs.CV papers we have recorded · ↑ newer: Think in 360°: Benchmarking and Bootstrapping Panoramic Video Reasonin · ↓ older: Any Forcing: Any-Step Generality and One-Step Stability for Autoregres
Cite this page: REA: A Routed Embodied Agent Runtime for Asynchronous Brain-Cerebellum Control: the #39 most recent of 710 cs.CV papers we have recorded (as of 2026-10-30). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/rea-a-routed-embodied-agent-runtime-for-asynchronous-brain-cerebellum-control.html
Free to quote with attribution to “Signals 4 (Signals API)”. Machine-readable: papers.json
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