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Add Safety section + Embodied AI Safety Survey #7

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12 changes: 12 additions & 0 deletions README.md
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Expand Up @@ -67,6 +67,7 @@ This repository accompanies our survey on **World Action Models (WAMs)** — the
- [Evaluation](#evaluation)
- [Training Data](#training-data)
- [Evaluation](#evaluation)
- [Safety](#safety)

## Tag Legend
### World Action Model tags
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## Safety

Safety considerations across the embodied AI pipeline that World Action Models inherit: perception robustness, cognitive jailbreak, planning manipulation, action-level adversarial control, and agentic cascading risks.

- **Embodied AI Safety Survey**: "Safety in Embodied AI: A Survey of Risks, Attacks, and Defenses", arXiv 2026.
[[📄 Paper](https://arxiv.org/pdf/2605.02900)] [[🌍 Webpage](https://x-zheng16.github.io/Awesome-Embodied-AI-Safety/)] [[💻 Code](https://github.com/x-zheng16/Awesome-Embodied-AI-Safety)] [[🌟 Blog](https://github.com/x-zheng16/Awesome-Embodied-AI-Safety#-news)]

First unified safety framework for embodied AI, covering 500+ papers across 5 layers (Perception, Cognition, Planning, Action and Interaction, Agentic) and 18 subcategories. Capability-Risk Duality: each layer of the embodied pipeline represents a capability expansion that introduces corresponding new vulnerabilities; inner-layer vulnerabilities cascade to outer layers. Relevant to WAM design as it characterizes the threat surface that joint video-action generators, autoregressive predictors, and diffusion planners inherit at every layer they integrate.



## 👋 Citation

If you find this survey or repository helpful for your research, please consider citing our paper:
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