MIT researchers use AI to empower robots for versatile tool use in simulations and real-world settings.
MIT researchers have utilized artificial intelligence (AI) models to combine data from multiple sources to help robots learn better.
The technique employs diffusion models, a type of generative AI, to integrate multiple data sources across various domains, modalities, and tasks.
The training strategy allowed a robot to execute various tool-use activities and adapt to new tasks it was not exposed to during training, both in simulations and real-world tests.
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