Imagine teaching a robot to complete a task by showing it just one video – Cornell University researchers have made that a reality with their new AI system, RHyME.
Unlike traditional robots that require precise instructions and struggle with unexpected errors, RHyME helps robots adapt by using memory and drawing on past visual examples.
This new method could dramatically reduce the time, cost, and effort needed to train robots, requiring just 30 minutes of data instead of hours.
In lab tests, RHyME-trained robots saw over a 50% boost in task success compared to older methods.
A love for robots and developing scientific life has even transpired to Star Wars fan, Anthony Smith, who turned his passion into reality by 3D printing life-size droids right from home.
Researchers say this new approach brings us one step closer to smarter, more adaptable home and service robots.