FLEX approach helps robots reason beyond literal commands
4 Articles
4 Articles
The FLEX system of the MIT allows a robotic arm to deduce what to avoid from a single sentence. The complete process lasts about five seconds. Its authors, from the MIT and from the University of New York, will present it this month at the Conference on Robot Learning. During a virtual test, a person wrote «Do not spill it on the laptop!» while the arm was carrying a cup of coffee. According to the MIT note, the robot changed its route to get aw…
FLEX approach helps robots reason beyond literal commands
Humans are intuitive by nature. We can sense meaning beyond the literal words that we encounter. Now, a new artificial intelligence–assisted learning platform developed by MIT engineers is enabling robots to read larger meaning into a human's natural language commands.
MIT FLEX robot learning infers preferences from commands
Researchers at the Massachusetts Institute of Technology (MIT) and New York University have developed an AI-assisted robot learning system that can infer broader user preferences from short natural-language instructions. Known as FLEX, the system uses language models to identify what a user means rather than simply following commands literally. The FLEX robot learning approach was […] The post MIT FLEX robot learning infers preferences from comm…
Robots Have Been Taught to Understand the Meaning of Human Requests, Not Just to Carry Out Commands.
Science and Heitech: Researchers have developed an artificial FLEX intelligence system that allows robots to understand not only the literal meaning of human instructions but also the intentions behind them.
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