Collaborative robot learning from demonstrations

CORAL – Collaborative robotic assistant learning through demonstrations - aims to develop an application combining collaborative robotics and machine learning techniques for flexible sorting of objects transported on a conveyor belt. The system quickly adapts to different types of tasks demonstrated by the operator, learning a new task by imitation, without the need for a programmer.