# Preprint reports weight edit improves robot policy's instruction following

_Published Tuesday, November 10, 2026 at 12:13 AM EST · Science, Robotics · Latest · Tier 2 — Notable_

Researchers report in a preprint that directly editing a robot policy's weights increased successful task completions from 27 to 106 across 128 held-out seeds. The policy had released a cube before reaching a bowl because it misread which object the instruction referred to.

The method transfers the effect of a clearer instruction into the model's weights without gradients, training data, or changing the original instruction. A released tool reproduced the repair on new held-out seeds, raising success from 8/64 to 36/64.

Edits targeting perception, a missing grasp, contact physics, or the gripper threshold did not help. The authors say the approach works best when a known-good input exists to transfer.

## Sources

- [arXiv Query: search_query=cat:cs.RO&id_list=&start=0&max_results=30](https://arxiv.org/abs/2611.11894v1)

---
Canonical: https://techandbusiness.org/newswire/lgM9py7Ux-J6ZVDjV5EFO9
Published: 2026-11-10T05:13:35.896Z
Story chronology: 2026-11-09T05:15:50.000Z
Retrieved: 2026-11-10T07:22:53.052Z
Publisher: Tech & Business (techandbusiness.org)