Data Set Used
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 can… (More)
Machine learningcan be a most valuable tool for improvingthe exibilityand eeciency of robot applications. Many approachesto 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 contrast, the… (More)
One central point o f m a c hine learning in general and inductive logic programming in special is the search space of the algorithms, deened by the control structure of the algorithms and additional knowledge. Since the sensible search space diiers from domain to domain, a exible way to describe this space is desired. To demonstrate problems occuring while… (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)
Human-Agent Interaction as a speciic area of Human-Computer Interaction is of primary importance for the development of systems that should cooperate with humans. The ability to learn, i.e., to adapt to preferences , abilities and behaviour of a user and to peculiarities of the task at hand, should provide for both a wider range of application and a higher… (More)
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