Awesome-Embodied-AI-Safety
VerifiedUnified survey and framework for embodied AI safety risks.
What is Awesome-Embodied-AI-Safety?
Awesome-Embodied-AI-Safety is a curated survey repository paired with an arXiv paper that organizes safety literature into a single structured framework. It covers risks across the full embodied AI pipeline and highlights both attack surfaces and mitigation strategies drawn from recent research.
Users navigate categorized paper lists, the project website, and the main survey document to explore threats in perception modules, decision-making, and real-world interaction. The repository is actively maintained with community contributions welcomed through standard GitHub workflows.
It primarily serves academic researchers, safety engineers, and developers building or auditing robotic agents and embodied systems who need a consolidated view of current vulnerabilities and defenses.
What you can build with Awesome-Embodied-AI-Safety
Literature Review
Quickly locate and organize 500+ papers on embodied AI safety topics for academic writing or grant proposals.
Risk Analysis
Apply the unified framework to evaluate attack vectors in perception, planning, or interaction components of new agents.
Defense Design
Reference existing defenses when designing safety mechanisms for physical AI systems before deployment.
Install Awesome-Embodied-AI-Safety
git clone https://github.com/x-zheng16/Awesome-Embodied-AI-Safety- 1Visit the project website to browse the survey structure and categories.
- 2Clone the GitHub repository to access the full paper list and assets locally.
- 3Read the arXiv paper for the detailed unified safety framework and analysis.
- 4Search the categorized references for specific risks or defenses relevant to your work.
- 5Open a pull request on GitHub to suggest new papers or improvements.
Awesome-Embodied-AI-Safety: pros & cons
Pros
- +Extensive coverage of 500+ papers in one place
- +Introduces the first unified safety framework for the field
- +Open-source with active maintenance and contribution path
- +Includes both arXiv paper and navigable website
Cons
- –Contains no executable code or tools, only references
- –Scope limited to surveyed literature up to publication date
- –Requires separate access to individual papers for full details
Frequently asked questions
No, it is a survey repository and paper providing a literature framework rather than deployable software.
User reviews
Verified reviews from the community shape this listing's rating.
Loading reviews…