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Showing papers on "Haptic technology published in 1984"


Proceedings ArticleDOI
01 Mar 1984
TL;DR: This paper describes how information can be extracted from the finger-object contact using strain sensors beneath a compliant skin and a rough upper bound on sensor density requirements for a specific depth is presented that is based on the frequency response of the elastic medium.
Abstract: In order to stably grasp objects without using object models, tactile feedback from the fingers is sometimes necessary. This feedback can be used to adjust grasping forces to prevent a part from slipping from a hand. If the angle of force at the object finger contact can be determined, slip can be prevented by the proper adjustment of finger forces. Another important tactile sensing task is finding the edges and corners of an object, since they are usually feasible grasping locations. This paper describes how this information can be extracted from the finger-object contact using strain sensors beneath a compliant skin. For determining contact forces, strain measurements are easier to use than the surface deformation profile. The finger is modelled as an infinite linear elastic half plane to predict the measured strain for several contact types and forces. The number of sensors required is less than has been proposed for other tactile recognition tasks. A rough upper bound on sensor density requirements for a specific depth is presented that is based on the frequency response of the elastic medium. The effects of different sensor stiffnesses on sensor performance are discussed.

54 citations


Journal ArticleDOI
TL;DR: Correlations between haptic and visual attribute ratings were high, and the between-attribute correlational structures within each condition were also very similar, discussed in terms of Gibson’s notion of partial perceptual invariances.
Abstract: Subjects sorted 24 solid forms into groups on the basis of perceived similarity of shape, and rated each on a series of physical attributes under either visual or haptic conditions. Multidimensional scaling analyses within each condition produced highly similar two-dimensional solutions. Both first dimensions were related to size judgments, and both second dimensions were related to shape judgments. Correlations between haptic and visual attribute ratings were high, and the between-attribute correlational structures within each condition were also very similar. The findings are discussed in terms of Gibson’s notion of partial perceptual invariances.

38 citations