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Design of an Artificial Neural Network Based Tactile Sensor for the UTAH/MIT Dexterous Hand

Defense Technical Information Center · 1992 · 8 pictures

This 1992 technical report by the Air Force Institute of Technology, distributed through the Defense Technical Information Center, describes a neural-network tactile sensor built for the UTAH/MIT dexterous robot hand. The pictures are plain line diagrams of sensing setups: a grid of electrodes beneath a flexible layer, a pressing probe on a layered skin, a single contact with a battery and meter, and a dome-shaped arrangement of marked points over a circular base. A designer might take the clean, schematic linework and the layered cross-section method for showing how touch is sensed.

Nering, Jeffery D · Air force inst of tech wright-patterson afb oh school of engineering · Neural nets · Pattern recognition · Skin(anatomy) · Artificial intelligence · Touch · INPUT · Output · Resolution · Electric fields · Senses(physiology) · Trajectories · Electrodes · High resolution · Voltage · Networks · Measurement

Internet Archive · Defense Technical Information Center · Public domain (US government work) · More from this library