AI agents design robot lab protocols in simulation, then direct real lab robots to run them
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Researchers describe their research programme and lab layout to a system of AI agents, which drafts step-by-step protocols for the lab’s robots, tests them in a virtual copy of the lab, and then instructs the real robots to carry out the experiments. The approach targets persistent limits of lab automation: robots’ narrow skill sets, restricted mobility, and tendency to obstruct one another in shared space.
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