Evaluating exemplary training accelerators for Programming-by-Demonstration

Robot Programming by Demonstration requires comprehending the usage of a robotic system. This article is about accelerating the training of these skills, using the example of a DLR/KUKA light-weight robot. An augmented reality and a virtual reality setup are presented that aim to demonstrate and evaluate skills transfer of two different sub-tasks of this system: Avoiding robot singularities and setting correct compliance parameters. For this purpose training accelerators are introduced for visualising robot singularities, exploring robot singularities and feeling compliance parameters. An evaluation procedure for all three accelerators is suggested and has been performed on the first two. As interesting evaluation result a contrast to the Cognitive Theory of Multimedia Learning hypothesis could be observed: Additional visual information on the robot singularities impairs the participants´ performance.