Gerd Sagerer

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In the recent past, service robots that are able to interact with humans in a natural way have become increasingly popular. A special kind of service robots that are designed for personal use at home are the so-called robot companions. They are expected to communicate with non-expert users in natural and intuitive way. For such natural interactions with(More)
Preface Knowledge representation and use has been a central concern for computer vision since decades. This topic becomes even more important as it is now possible to augment the reality thru real-time computer graphics in combination with real-time computer vision. As both disciplines need to cooperate, they also need to agree on common representation(More)
Traditionally, the programming of bot behaviors for commercial computer games applies rule-based approaches. But even complex or fuzzyfied automatons cannot really challenge experienced players. This contribution examines whether bot programming can be treated as a pattern recognition problem and whether behaviors can be learned from recorded games. First,(More)
We present an algorithm for the extraction of language models from a semantic network that contains syntactic, semantic and pragmatic knowledge. The use of such language models in acoustic recognition processes results in much better system performance in speed as well as in quality of results. The automatic extraction process guarantees that the created(More)
Interpretation of complex scenes involves analysing multiple objects being composed of several parts. Since diierent objects often have parts in common it is useful to share resources representing these identical substructures. This is quite a diicult task for artiicial neural networks (ANNs) 4], but can be handled with semantic networks. They are a well(More)
The aim of this work is to exploit regular structure in a scene by using the gestalt laws of perception in the eld of computer vision. The statistical result of a hand labelled training set is employed to derive \Areas of perceptual attentiveness". Grouping hypotheses are thus generated based on local evidence. To judge these hypotheses in a more global(More)
The recognition of hands and the 3-dimensional characterization of hand orientation is a diicult and practically important vision problem. In this work we propose a hybrid system attaching artiicial neural networks to concepts of a semantic network to solve this problem. The neural networks are attached as a holistic representation at varying levels of the(More)
— Current research in robotics is driven by the goal to achieve a high user acceptance of service robots for private households. This implies that robots have to increase their social aptness in order to become a robot companion that is able to interact in a natural way and to carry out tasks for the user. In this paper we present the Bielefeld Robot(More)