Science / Technology

Google’s Robot Project Aims to Break Moravec’s Paradox

Google's Robot Project Aims to Break Moravec's Paradox
Google's Robot Project Aims to Break Moravec's Paradox
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Google Research and Everyday Robots , Google’s research arm of Alphabet in the United States , announced joint research “PaLM-SayCan” to solve the ” Moravec Paradox ” using advanced language models and robot learning. did.

By adopting PaLM (Pathways Language Model) as a learning model executed by  Everyday Robots ‘ helper robots running on Google’s campus, the robot’s performance is enhanced and it is possible to make it perform more complex and abstract tasks. Research.

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 Moravec’s paradox is that AI and robotics have a harder time learning motor skills and perceptions based on human instinct than reasoning based on higher intelligence.

 Everyday Robots’ robots understand and execute simple commands like “Bring me a bottle of water”, but “I spilled my drink. Can you help me?” It is difficult for a robot to give an order such as “Can you bring me a snack that will make you vomit?”

Google's Robot Project Aims to Break Moravec's Paradox

For example, I spilled my drink . and apologize. In PaLM-SayCan, the robot interprets the user’s request to bring something to clean up a spilled drink and decides to take a sponge.

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At a high level, PaLM proposes multiple approaches to the task based on language understanding, and robots also propose multiple approaches based on feasible skill sets. The integrated system cross-references the two proposals and identifies a more useful and achievable approach for robots.

Google's Robot Project Aims to Break Moravec's Paradox

According to Google, the PaLM-SayCan robot was able to plan the correct response 84% of the time and execute it 74% of the time for 101 commands.

 ”We are excited about this progress… Our experiments demonstrated the robot’s ability to complete abstract natural language instructions with a high success rate. The interpretability of PaLM-SayCan allows users We believe that it will enable safe interactions with robots and robots,”

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