Abstract
Productivity and flexibility are antagonists with opposite goals. Until now, optimal productivity could only be achieved in fully automated inflexible serial production. Increased demand for flexibility due to individualized products e.g. in most SMEs requires an increased level of flexibility – also for robots that should provide improved skills as well as improved means of interaction to simplify programming. Instrumented tools based on 3D tracking technology can be used as interfaces in Programming by Demonstration (PbD) scenarios but are prone to inaccuracies introduced by human demonstration. This paper presents a programming paradigm that combines a semantic model based geometric reasoning paradigms with an instrumented tool based PbD approach in order to compensate those introduced inaccuracies as well as investigates basic accuracies of demonstration of point based operations.
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