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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.

Papers
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Journal ArticleDOI

Impedance restrictions on independent finger grippers

TL;DR: The impedance matrices of independent point fingers of a multifingered gripper map to the impedance matrix of a grasped workpart, and a "unattainable" impedance matrix is found that a workpart cannot attain regardless of the number of fingers that grasp it.
Book ChapterDOI

Synergistic mechanical devices: a new generation of medical robots

TL;DR: In this paper, the authors discuss available technologies, and some emerging technologies, for guiding a surgical tool, and three different approaches to synergistic systems, under study by the authors (PADyC, ACROBOT and Cobots), are highlighted.
Proceedings ArticleDOI

Control and Performance of the Rotational-to-Linear Cobotic Transmission

TL;DR: The motion control bandwidth and stable impedance range of the Cobotic Hand Controller, a novel, six-degree-of-freedom, admittance controlled haptic display, is examined, which is capable of obtaining an infinite gear ratio and can render infinite impedances.
Proceedings ArticleDOI

A Soft Wearable Tactile Device Using Lateral Skin Stretch

TL;DR: In this paper, a soft wearable tactile device that stimulates the finger pad via lateral forces was presented, and two psychophysical experiments were conducted to explore the utility of the device and showed that the lateral forces obtained were sufficient for the perception of angled lines, and the arraybased system provided repeatable edge detection.

Enhanced teleoperation exhibiting tele-autonomy and tele-collaboration.

TL;DR: This work builds on a reactive, agent-based control architecture, which is well suited to unstructured and unpredictable environments, and cobot control technology, which implements a virtual fixture that can be used to guide the application of tools with passive force-feedback control.