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Utilizing Advanced Linguistic Models for Autonomous Error Recovery in Home Robotics

Commonsense 01 Press 0
Even when some or all of those are addressed, there remains the question of what happens when a system makes an inevitable mistake. We can’t, however, expect consumers to learn to program or hire someone who can help any time an issue arrives. Thankfully, this is a great use case for LLMs (large language models) in the robotics space, as exemplified by new research from MIT. “LLMs have a way to tell you how to do each step of a task, in natural language. It’s a simple, repeatable task for humans, but for robots, it’s a combination of various small tasks.