Robot learns complex tasks quickly and adapts to interruptions

Researchers developed SymSkill, a system enabling robots to learn complex 12-step tasks from brief demonstrations and adapt when interrupted or tasks fail, using a combination of symbolic planning and physics-based dynamical systems.