Cognitive humanoid robots based on complex kinematic features

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Abstract

By exploring the possibilities of biological control mechanism and the study of neuroscience, behavioral and cognitive science a new generation of humanoid robots is on the horizon. The importance of voluntary behavior in a kinematically complex humanoid robot appears to play an important role to obtain spatial and temporal knowledge. Voluntary behavior can effectively be utilized for active interaction with dynamic and morphologic environments. Polymodal sensor data acquisition allows us to explore the basis of natural intelligence by correlating these data with the high degree of freedom motor skills of humanoid robots. The semantic role of cognitive human brain functions in particular the implicit and explicit modulations of internal factors such as behavioral motivation and attentional states will create cognitive humanoid robots.

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Kirchner, F., Koshizen, T., & Spenneberg, D. (2003). Cognitive humanoid robots based on complex kinematic features. In Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science) (Vol. 2774 PART 2, pp. 584–591). Springer Verlag. https://doi.org/10.1007/978-3-540-45226-3_81

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