Abstract
The aim of this paper is to present considerations that go into the design of a system that will be able to grasp a variety of objects. Grasping depends on the assumption of two properties: The shape and size of the three-dimensional object and on the task that follows after grasping; hence, our interest in the integrated approach to 3-D shape recognition. We shall present an overview of currently available and being developed algorithms for representation and recognition of three-dimensional shape of an object as perceived by visual and/or tactile sensors. For the visual sensor we assume that we have available stereo cameras or their equivalent. As the tactile sensor we use an articulated multifingered hand equipped with tactile sensory arrays as the data acquisition device. We shall present available configurations of these devices. Then we shall investigate the sensory processing, in particular, what representation schemas should be considered. We shall argue that the object-centered representation as opposed to observer-centered representation is more important for grasping. Finally, a rule based schema for the control strategies will be outlined. As examples, first some artificial geometric objects then some real laboratory objects from the blocks world will be analyzed.
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© 1985 Plenum Press, New York
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Bajcsy, R. (1985). Integrating Vision and Touch for Grasping of an Object. In: Tou, J.T. (eds) Computer-Based Automation. Springer, Boston, MA. https://doi.org/10.1007/978-1-4684-7559-3_17
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DOI: https://doi.org/10.1007/978-1-4684-7559-3_17
Publisher Name: Springer, Boston, MA
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