<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Spatial-Reasoning on skulldc</title><link>https://skulldc.net/tags/spatial-reasoning/</link><description>Recent content in Spatial-Reasoning on skulldc</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Fri, 06 Nov 2026 20:28:22 +0000</lastBuildDate><atom:link href="https://skulldc.net/tags/spatial-reasoning/index.xml" rel="self" type="application/rss+xml"/><item><title>SLA adds 3D spatial alignment to robot policy pre-training without changing inference</title><link>https://skulldc.net/2026/11/sla-adds-3d-spatial-alignment-to-robot-policy-pre-training-without-cha/</link><pubDate>Fri, 06 Nov 2026 20:28:22 +0000</pubDate><guid>https://skulldc.net/2026/11/sla-adds-3d-spatial-alignment-to-robot-policy-pre-training-without-cha/</guid><description>The SLA paper continues pre-training a pi05 policy with alignment to a frozen 3D perception model, then drops the extra parts so the inference architecture stays unchanged.</description></item></channel></rss>