The embodied-ai-lab organization hosts project-lab templates for CSE 494/598: Topic: Intelligent and Safe Cyber-Physical Systems at Arizona State University. The projects study how AI-agent behavior, computer-system timing, security mechanisms, and physical outcomes interact in embodied systems.
| Project lab | Agent type | Repository | Core question |
|---|---|---|---|
| A: Agentic Driving Coach | LLM agent | agentic-driving-coach | How do inference latency, deadlines, and fallback affect a simulated car's physical outcome? |
| B: Embodied Agent Authentication | VLM agent | embodied-agent-auth | How can authenticated sensor delivery protect a visual embodied agent from malicious publishers? |
| C: Safe Agent Actuation | VLA agent | safe-agent-actuation | How should generated robot motion be analyzed, authorized, and enforced before actuation? |
Visit the Embodied AI Lab website for the sequence overview, learning goals, and project-lab format.
The repositories above are public course templates. For your assigned project:
- Read the repository's
README.mdandASSIGNMENT.md. - Use the template to create a private repository for your group.
- Add only your project partners and do not publish course work publicly.
- Follow the project-specific ASU Sol and submission instructions.
- Treat Canvas as authoritative for deadlines, groups, and uploads.
If you have any questions about the project labs, please reach out to Hokeun Kim at hokeun@asu.edu.
