Does Continual Imitation Learning Remain Grounded? A Language-Perturbed Benchmark for Robotic Task Retention
The research tested if robots can learn new skills while retaining old ones through continual learning, specifically focusing on how language-guided behavior changes as tasks are added. The study found that strong performance in continual learning does not guarantee that the robot's behavior remains reliably grounded in the original instruction when faced with paraphrased or incompatible new goals.