Collaborative Programming of Conditional Robot Tasks
Christoph Willibald,Thomas Eiband,Dongheui Lee,Christoph Willibald,Thomas Eiband,Dongheui Lee
Conventional robot programming methods are not suited for non-experts to intuitively teach robots new tasks. For this reason, the potential of collaborative robots for production cannot yet be fully exploited. In this work, we propose an active learning framework, in which the robot and the user collaborate to incrementally program a complex task. Starting with a basic model, the robot's task know...
