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Michael A. Peshkin

Researcher at Northwestern University

Publications -  243
Citations -  10331

Michael A. Peshkin is an academic researcher from Northwestern University. The author has contributed to research in topics: Haptic technology & Robot. The author has an hindex of 55, co-authored 242 publications receiving 9681 citations. Previous affiliations of Michael A. Peshkin include Carnegie Mellon University & University of Pisa.

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Proceedings ArticleDOI

On the Design of a Thermal Display for Upper Extremity Prosthetics

TL;DR: The design of the thermal display portion of this device is presented, and through psychophysical temperature discrimination tests, the unique thermal response characteristics of intact hands and TRI-chests are explored.
Proceedings ArticleDOI

A Pilot Study of a Thermal Display Using a Miniature Tactor for Upper Extremity Prosthesis

TL;DR: The design of the thermal display portion of the tactor is discussed, and a pilot study of a thermal display using theTactor is studied.
Proceedings ArticleDOI

Task-space/joint-space damping transformations for passive redundant manipulators

TL;DR: It is found that a redundant wrist has a broader range of realizable damping matrices than a non-redundant wrist and many realizable joint-space matrices are shown to exist which are discovered by linear transformations.
Journal ArticleDOI

Search Efficiency for Tactile Features Rendered by Surface Haptic Displays

TL;DR: It is found that searches for a material property and an illusory shape were significantly impaired by distractors, while search for an abrupt discontinuity was not, which suggests that they engage primitive detectors in the haptic perceptual system.
Proceedings ArticleDOI

Cobotic architecture for prosthetics.

TL;DR: Use of cobotic IVTs eliminates the need to make compromises on output flow and effort, which are inherent to choosing a fixed transmission ratio drivetrain, and results in a mechanism with enhanced dynamic range that extends continuously from a completely clutched state to a highly backdrivable state.