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At NVIDIA GTC, we visited the Build-a-Claw demo to see how OpenClaw actually works in practice.
DROIDS Associate Editor Alexander Wolf Torres speaks with NVIDIA’s Mark McKeen about how an AI agent can move from concept to robot. Starting from a simple prompt, OpenClaw proposes designs, iterates on hardware, and trains control policies in simulation.
In this case, it produced a tracked robot with a claw. When asked why, it had an answer.
This conversation shows how design, simulation, and training are starting to merge into a single loop, with the agent actively participating in the process.
By Diana Wolf TorresAt NVIDIA GTC, we visited the Build-a-Claw demo to see how OpenClaw actually works in practice.
DROIDS Associate Editor Alexander Wolf Torres speaks with NVIDIA’s Mark McKeen about how an AI agent can move from concept to robot. Starting from a simple prompt, OpenClaw proposes designs, iterates on hardware, and trains control policies in simulation.
In this case, it produced a tracked robot with a claw. When asked why, it had an answer.
This conversation shows how design, simulation, and training are starting to merge into a single loop, with the agent actively participating in the process.