Volker Klingspor

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Machine learning can be a most valuable tool for improving the flexibility and efficiency of robot applications. Many approaches to applying machine learning to robotics are known. Some approaches enhance the robot's high-level processing, the planning capabilities. Other approaches enhance the low-level processing, the control of basic actions. In(More)
Human-Robot Interaction and especially Human-Robot Communication (HRC) is of primary importance for the development of robots that operate outside production lines and cooperate with humans. In this paper, we review the state of the art and discuss two complementary aspects of the role machine learning plays in HRC. First, we show how communication itself(More)
ABSTRACT This paper describes methodologies applied and results achieved in the framework of the ESPRIT Basic Research Action B-Learn II (project no. 7274). B-Learn II is one of the rst projects working towards an application of Machine Learning techniques in elds of industrial relevance, which are much more complex than the domains usually treated in ML(More)
The recognition of objects and, hence, their descriptions must be grounded in the environment in terms of sensor data. We argue, why the concepts, used to classify perceived objects and used to perform actions on these objects, should integrate action-oriented perceptual features and perception-oriented action features. We present a grounded symbolic(More)
This paper presents an integrated approach to the application of Machine Learning techniques for the enhancement of mobile robots' skills. It identiies the learning tasks that can be observed throughout a number of typical applications of mobile robots and puts those tasks into perspective with respect to both existing and newly developed learning(More)
One of the most important aspects in service robotics is the communication of service robots with their users. Since these users must in general be considered as not familiar with either robots or computers, this communication must take place in a human-oriented manner and employ human-understandable symbols. Here, two techniques relying heavily on learning(More)