# CapPro: Adapting VLA models to new manipulation tasks with a single human video

- Source: arXiv cs.RO
- Published: 2026-10-27T04:00:00.000Z
- RoboHot: https://robohot.news/en/items/p47620gbnvybi27ho3uz6qhzl
- Original: https://arxiv.org/abs/2610.19746

## Summary

Researchers propose the CapPro framework, which lets a vision-language-action (VLA) policy adapt to previously unseen manipulation tasks using only a single human demonstration video, without robot demonstrations or fine-tuning for the target task. The framework has two components: a phase-aware human video representation module, which learns task-relevant query representations through visual token selection and phase-caption supervision, and a video-conditioned adaptation module, which injects the compact video and query representations into the action-conditioning context of a pretrained VLA policy.