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Results show that the multi-agent design of RoboFind fits the demands of personalized object search, where verifying object identity before declaring completion is what makes the outcome something a user can rely on.
Robots can now learn to forget irrelevant memories based on user feedback, improving question-answering accuracy while drastically reducing memory size and query time.
Forget simulated manipulation鈥擬anipulationNet offers a global infrastructure for benchmarking robots in the real world, complete with standardized hardware and software, to finally measure progress toward general manipulation.
