Overview
The Embodied Artifical Intelligence (Embodied AI) Labs are a core experiential component of the CSE 494/598 Topic: Intelligent and Safe Cyber-Physical Systems (ISCPS) course at Arizona State University.
Students design, implement, and evaluate intelligent agents that interact with the physical world, with a strong emphasis on:
- safety and robustness,
- timing and physical consequences,
- authentication and authorization,
- interpretability of decisions,
- and principled reasoning in cyber-physical environments.
Lab sequence
The three labs progress from language-based reasoning to visual decision-making and finally to physical action generation:
| lab | Agent | System and safety focus |
|---|---|---|
| A: Agentic Driving Coach | LLM agent | Deadline-aware driving guidance, deterministic fallback, and physical stopping outcomes |
| B: Embodied Agent Authentication | VLM agent | Visual decision-making under malicious sensor inputs and authenticated data delivery |
| C: Safe Agent Actuation | VLA agent | Motion-risk analysis, context-based authorization, and enforcement at the actuator |
Each project combines a concrete embodied-agent system with reproducible experiments. Students connect model behavior and computer-system mechanisms to observable cyber-physical outcomes rather than evaluating the AI model in isolation.
Start labs
Open the page for your assigned project, then follow the repository’s README.md
for setup and ASSIGNMENT.md for graded tasks and deliverables. The public
repositories are course templates; students complete their work in private
group repositories created from those templates.
Copyright © Hokeun Kim 2026–2026