M
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.
Papers
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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.
Journal ArticleDOI
PACT: an experiment in integrating concurrent engineering systems
Mark R. Cutkosky,Robert Engelmore,Richard Fikes,Michael R. Genesereth,Thomas R. Gruber,W.S. Mark,J. M. Tenenbaum,Jay C. Weber +7 more
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.
Journal ArticleDOI
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.
Journal ArticleDOI
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.