LLMs can generate plans and write robot code 📝 but they can also make mistakes. How do we get LLMs to 𝘬𝘯𝘰𝘸 𝘸𝘩𝘦𝘯 𝘵𝘩𝘦𝘺 𝘥𝘰𝘯'𝘵 𝘬𝘯𝘰𝘸 🤷 and ask for help?

Read more on how we can do this (with statistical guarantees) for LLMs on robots 👇
https://t.co/M9lUqlZ5cBrobot-help.github.io
Exploring LLM uncertainty in the context of generating robot plans is especially crucial because of safety considerations 🚧

Instructions from people can be ambiguous, and LLMs are prone to hallucinating. Poor outputs can lead to unsafe actions and consequences.