Simulation Environments

Embodied AI requires an environment to live and learn in. Since physical robots are expensive and slow, we use high-fidelity simulation environments.

1. Robot-Operating-System (ROS) Integration

We connect Hyperon/MeTTa to ROS, allowing our AGI designs to control simulated (and eventually real) robots.

2. Minecraft / Project Malmo

Minecraft provides a rich, voxel-based world where agents must:

• Collect resources (Short-term planning).
• Craft tools (Hierarchical planning).
• Survive and build (Open-ended goals).

3. Sophia-DAO Simulation

A specialized simulator designed for the Sophia robot, focusing on social interaction and emotional recognition.

4. Unity / Unreal Engine Custom Sims

Used for high-fidelity physics and vision experiments.

• Task Example: "Navigate this complex apartment and find the hidden keys."

Why Simulations Matter

• Safety: Errors in a simulator don't break hardware.
• Speed: We can run simulations at 10x or 100x real-time speed.
• Diversity: We can instantly change the world's physics or layout.

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