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We propose a novel interactive multi-label RGB-D image segmentation method by extending spatially varying color distributions [14] to additionally utilize depth information in two different ways. On the one hand, we consider the depth image as an additional data channel. On the other hand, we extend the idea of spatially varying color distributions in a(More)
Robots that know what they are doing can solve their tasks more reliably, flexibly, and efficiently. They can even explain what they were doing, how and why. In this paper we describe a system that not only is capable of executing flexible and reliable plans on a robotic platform but can also explain control decisions and the reason for specific actions,(More)
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