Get the latest tech news
Large language models can help home robots recover from errors without human help
There are countless reasons why home robots have found little success post-Roomba. Pricing, practicality, form factor and mapping have all contributed to
A study set to be presented at the International Conference on Learning Representations (ICLR) in May purports to bring a bit of “common sense” into the process of correcting mistakes. “But unless engineers also program them to adjust to every possible bump and nudge, robots don’t necessarily know how to handle these situations, short of starting their task from the top.” “With our method, when the robot is making mistakes, we don’t need to ask humans to program or give extra demonstrations of how to recover from failures,” Wang adds.
Or read this on TechCrunch
