Utilizing Advanced Linguistic Models for Autonomous Error Recovery in Home Robotics
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.