Signals 4 · free daily AI digest

Sensorimotor Alignment: A Platonic Proxy for Embodied Policy Success

Paper recorded by Signals 4 on 2026-10-22 in cs.LG. Abstract reproduced from arXiv; link to the original below.

Published 2026-10-22 on arXiv · recorded by Signals 4 on 2026-10-23

Category: cs.LG · 机器学习 · first seen 2026-10-23

Abstract

Robotic foundation models are typically evaluated through costly closed-loop rollouts, which motivates cheap offline proxies for model capability. The Platonic Representation Hypothesis (PRH) suggests that as representations improve, different modalities such as vision and language converge toward a shared statistical model of reality. We ask whether motion trajectories form another such modality:

Read on arXiv →

#191 most recent of 749 cs.LG papers we have recorded · ↑ newer: Sustainability of TSFM Deployment and Pretraining: From Carbon Footpri · ↓ older: Phase Transition from Random Features to Fully Trainable Networks
Cite this page: Sensorimotor Alignment: A Platonic Proxy for Embodied Policy Success: the #191 most recent of 749 cs.LG papers we have recorded (as of 2026-10-22). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/sensorimotor-alignment-a-platonic-proxy-for-embodied-policy-success.html
Free to quote with attribution to “Signals 4 (Signals API)”. Machine-readable: papers.json
Related: More cs.LG papers · arXiv signals · All papers · Today in AI
Get 4 AI signals a day by email — free.
Subscribe free → See all plans →
Get 4 AI signals a day by email — free
All models · All repos · By company · Daily editions