In this article an autonomous visual perception framework for humanoids is presented. This model-based framework exploits the available knowledge and context acquired during global...
David Israel Gonzalez-Aguirre, S. Wieland, Tamim A...
We present a compositional method for deriving control constraints on a network of interconnected, partially observable and partially controllable plant components. The constraint ...
— We propose Computational Sensor Networks as a methodology to exploit models of physical phenomena in order to better understand the structure of the sensor network. To do so, i...
Thomas C. Henderson, Christopher A. Sikorski, Edwa...
In this paper we present a software approach to managing complexity for haptic rendering of large-scale geometric models, consisting of tens to hundreds of thousands of distinct g...
A fully automatic method to extract field boundaries from imagery is described in this paper. The fields are represented together with additional prior knowledge in the form of GIS...