Tactile Recognition and Localization Using Object Models: The Case of Polyhedra on a Plane
This paper discusses how data from multiple tactile sensors may be used to identify and locate one object, from among a set of known objects. The authors use only local information from sensors: the position of contact points, and ranges of surface normals at the contact points. The recognition and localization process is structured as the development and pruning of tree of consistent hypotheses about pairings between contact points and object surfaces. In this paper, they deal with polyhedral objects constrained to lie on a known plane, i.e., having three degrees of positioning freedom relative to the sensors. (Author).
"This paper discusses how data from multiple tactile sensors may be used to identify and locate one object, from among a set of known objects. The authors use only local information from sensors: the position of contact points, and ranges of surface normals at the contact points. The recognition and localization process is structured as the development and pruning of tree of consistent hypotheses about pairings between contact points and object surfaces. In this paper, they deal with polyhedral objects constrained to lie on a known plane, i.e., having three degrees of positioning freedom relative to the sensors. (Author)."@en
MASSACHUSETTS INST OF TECH CAMBRIDGE ARTIFICIAL INTELLIGENCE LAB.
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This is a placeholder reference for a Topic entity, related to a WorldCat Entity. Over time, these references will be replaced with persistent URIs to VIAF, FAST, WorldCat, and other Linked Data resources.
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