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Mark R. Cutkosky

Researcher at Stanford University

Publications -  413
Citations -  22871

Mark R. Cutkosky is an academic researcher from Stanford University. The author has contributed to research in topics: Haptic technology & Tactile sensor. The author has an hindex of 77, co-authored 393 publications receiving 20600 citations. Previous affiliations of Mark R. Cutkosky include Immersion Corporation & Carnegie Mellon University.

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Journal ArticleDOI

On grasp choice, grasp models, and the design of hands for manufacturing tasks

TL;DR: Comparisons of the grasp taxonomy, the expert system, and grasp-quality measures derived from the analytic models reveal that the analytic measures are useful for describing grasps in manufacturing tasks despite the limitations in the models.
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PACT: an experiment in integrating concurrent engineering systems

TL;DR: The Palo Alto Collaborative Testbed (PACT) as mentioned in this paper is a concurrent engineering infrastructure that encompasses multiple sites, subsystems, and disciplines, including NVisage, a distributed knowledge-based integration environment for design tools; DME (Device Modeling Environment), a model formulation and simulation environment; Next-Cut, a mechanical design and process planning system; and Designworld, a digital electronics design, simulation, assembly, and testing system.
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Frictional adhesion: A new angle on gecko attachment.

TL;DR: The frictional adhesion model provides an explanation for the very low detachment forces observed in climbing geckos that does not depend on toe peeling.
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Smooth Vertical Surface Climbing With Directional Adhesion

TL;DR: The design and fabrication methods used to create underactuated, multimaterial structures that conform to surfaces over a range of length scales from centimeters to micrometers are described.
Proceedings ArticleDOI

An overview of dexterous manipulation

TL;DR: An overview of research in dexterous manipulation is presented, which includes grasp planning and quality measures, and looks at mid- and low-level control frameworks, and then compares manipulation versus exploration.