SIMPACT aims to turn simulated actions into real-world robot moves
The SIMPACT project describes an agent that proposes rough actions, tests them in simulation and refines them before a robot executes them in the real world.
TLDR
The SIMPACT team says its method starts by creating a physics simulator from a real-world scene. An agent then proposes actions and refines them using simulation results before they are executed in the real world. The project site says a vision-language model helps optimize the action sequence.
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