Princeton uses GPT-3 to teach robotic arms how to use tools
Princeton researchers just introduced ATLA, a method that uses GPT-3-generated descriptions of tool shapes and functions to train robotic arms. Providing language context allowed simulated arms to master unfamiliar tools significantly faster. Why it matters: large language models are proving to be an effective shortcut for giving physical robots common-sense adaptability.