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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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Book ChapterDOI

The use of localizers, robots and synergistic devices in CAS

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

Planning robotic manipulation strategies for sliding objects

TL;DR: A configuration map is defined and computed, mapping all configurations of a part before an elementary manipulative operation to all possible outcomes, and the automated design of parts feeders based on a conveyor belt is demonstrated.
Journal ArticleDOI

On the Design of Miniature Haptic Devices for Upper Extremity Prosthetics

TL;DR: In this article, three different versions of a multifunction haptic device that can display touch, pressure, vibration, shear force, and temperature to the skin of an upper extremity amputee, especially the one who has undergone targeted nerve reinnervation (TR) surgery was developed.
Patent

System and architecture for providing a modular intelligent assist system

TL;DR: In this article, an intelligent assist system having a modular architecture, coordinated by electronic communication links between the modules, is provided, where motion modules provide an assist upon actuation, and are in communication with computational nodes.
Journal ArticleDOI

Guiding systems for computer-assisted surgery: introducing synergistic devices and discussing the different approaches

TL;DR: This paper introduces synergistic devices which are an extension of semi-active systems and discusses the advantages of the different categories of guiding systems on the basis of a list of task-oriented and user-oriented qualitative factors.