# Lingchu Intelligence releases Psi-R2.5, using strong Pair Data to solve human-machine data alignment challenges

- Source: PsiBot/灵初智能
- Published: 2026-09-28T06:00:11.000Z
- RoboHot: https://robohot.news/en/items/jjhgae398m0lypuzj3ufk2vag
- Original: https://www.psibot.ai/%e7%81%b5%e5%88%9d%e6%99%ba%e8%83%bdpsi-r2-5%e6%ad%a3%e5%bc%8f%e5%8f%91%e5%b8%83%ef%bc%81%e6%a8%a1%e5%9e%8b%e8%83%bd%e5%8a%9b%e6%8c%81%e7%bb%ad%e5%bc%ba%e5%8c%96%ef%bc%8c%e7%a0%b4%e8%a7%a3/

## Summary

Lingchu Intelligence has officially released its embodied model Psi-R2.5, which uses a two-tier architecture with a QwenVL3.5-4B high-level planner plus a Wan2.2-IT2V-5B low-level controller, and proposes the strong Pair Data standard. The model reverse-invokes the Psi-W0 world model to generate human demonstration videos backward from real-robot data, enabling mass production of paired data, and supports in-context learning (ICL) for zero-shot generalization to new tasks. It comes with a HIL+RL post-training framework and is claimed to raise task success rates to 99% after a few iterations taking only 1-2 working days, and has already been deployed at customer sites.

## Why it matters

The original article details the model architecture, the strong Pair Data data standard, and the reverse-generation method, letting readers understand how its data approach supports real-robot generalization.