MIT and New York University researchers (led by Andreea Bobu, MIT) · LLM Robot Planning
FLEX
Researchers from MIT and NYU introduce FLEX, a feature-editing pipeline that lets people instruct a robot in conversational language, and the robot infers the broader intent behind them. Its Generalise step uses GPT-4o to extend a user's specified avoidance features to related objects, such as a phone near a laptop. The team demonstrated FLEX in simulated scenarios, including serving a cup of coffee, and the study is to be presented at the Conference on Robot Learning. The page does not state a licence or code release.
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