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Precision home robots learn with real-to-sim-to-real
August 7, 2024
CSAIL researchers introduce a novel approach allowing robots to be trained in simulations of scanned home environments, paving the way for customized household automation accessible to anyone.

A new technique can be used to predict the actions of human or AI agents who behave suboptimally while working toward unknown goals.

New method uses crowdsourced feedback to help train robots
November 29, 2023
Human Guided Exploration (HuGE) enables AI agents to learn quickly with some help from humans, even if the humans make mistakes.