Abstract:Robots are widespread across diverse application contexts. Teaching robots to perform tasks, in their respective contexts, demands a high domain and programming expertise. However, robot programming faces high entry barriers due to the complexity of robot programming itself. Even for experts robot programming is a cumbersome and errorprone task where faulty robot programs can be created, causing damage when being executed on a real robot. To simplify the process of robot programming, we combine Augmented Reali… Show more
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