Google is Infusing LLM into Home Robots! Where is it Taking us?

Google parent company Alphabet is bringing a helper robot into the kitchen.

Google's parent company Alphabet is infusing robots with artificial intelligence so they can help with tasks like lending a supporting arm to the elderly or sorting trash that can understand natural language commands. Alphabet has been developing robots that can carry out simple tasks like fetching drinks and cleaning surfaces. The trash-literate robot part of a project called Everyday Robot has been in development for years. The bots have now been given an upgrade like improved language understanding courtesy of Google's large language model (LLM) and PaLM (Pathways Language Model).

Google is infusing LLM in-home robots:

Google has dubbed the resulting system PaLM-SayCan, the name capturing how the model combines the language understanding skills of LLMs with the affordance grounding of its robots. GPT-3 first showed that large language models (LLMs) can be used for few-shot learning. PaLM was trained using a combination of English and multilingual datasets that include high-quality web documents, books, Wikipedia, conversations, and GitHub code.

The robot filters this instruction through an internal list of possible actions and interprets it as fetch me the sponge from the kitchen. They are going to try to build robots that can, you know, live amongst us and help us out in our daily lives. The hope is to make robots less reliant on human coding for their skills, and capable of adapting quickly to complex new tasks and environments.

The Retriever robot could be incredibly useful for people with limited mobility but we're still a long way from the do-anything robot butlers of our dreams. Google said that by integrating PaLM-SayCan into its robots, the bots were able to plan correct responses to 101 user-instructions 84 percent of the time and successfully execute them 74 percent of the time.

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