AI agents need both the ability to reason about the physical world and access to reliable information about it.
NVIDIA’s SpatialClaw tackles the reasoning side by letting an agent write and execute code step by step, inspect the results, then adapt its next action based on what it observes.
@vangrid_io is working on the perception side.
Vangrid’s network lets contributors capture real-world locations for specific bounties, with those captures reconstructed into 3D spatial data.
Agents can now also create Vangrid bounties through x402 and fund them in USDC on Base or Arc.
SpatialClaw helps agents reason about spatial data, while Vangrid helps provide the spatial data.
That combination points toward a more complete pipeline for Physical AI: perceive the real world, reason about it, and act on what the agent learns.