## Use Cases
The inclusion of ROS 2 expands DACA’s applicability to physical AI and robotics scenarios:
- **Autonomous Vehicles**: ROS 2-based AI agents handle perception (e.g., LIDAR processing), navigation, and vehicle-to-vehicle coordination, with Dapr enabling cloud-based traffic analysis and Kubernetes scaling for fleet management.
- **Humanoid Robotics**: ROS 2 supports natural interactions (e.g., gesture recognition, motion planning), while Dapr’s LLM integration via OpenAI Agents SDK processes human speech, and Kubernetes deploys agents across robots.
- **Warehouse Automation**: Multi-robot systems use ROS 2 for local navigation, Dapr for task coordination (e.g., pub/sub for order updates), and Kubernetes for dynamic scaling during peak demand.
- **Research and Simulation**: ROS 2 with Gazebo simulates AI agents, Dapr manages distributed simulation data, and Kubernetes runs parallel simulations for rapid prototyping.