Researchers at Cornell University are now charting a new course with RHyME, an artificial intelligence framework that dramatically streamlines robot learning. An acronym for Retrieval for Hybrid.
In context: Teaching robots new skills has traditionally been slow and painstaking, requiring hours of step-by-step demonstrations for even the simplest tasks. If a robot encountered something unexpected, like dropping a tool or facing an unanticipated obstacle, its progress would often grind to a halt. This inflexibility has long limited the practical use of robots in environments where unpredictability is the norm.
Researchers at Cornell University are now charting a new course with RHyME, an artificial intelligence framework that dramatically streamlines robot learning. An acronym for Retrieval for Hybrid Imitation under Mismatched Execution, RHyME enables robots to pick up new skills by watching a single demonstration video.
