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
More filters
Journal ArticleDOI
Dynamic tactile sensing: perception of fine surface features with stress rate sensing
Robert D. Howe,Mark R. Cutkosky +1 more
TL;DR: Dynamic tactile sensing, which is defined as sensing during motion for perception of high spatial and temporal frequencies, is presented and one type of dynamic tactile sensor, the stress rate sensor, is described in detail.
Proceedings ArticleDOI
Biomimetic design and fabrication of a hexapedal running robot
Jonathan E. Clark,Jorge G. Cham,Sean Bailey,E.M. Froehlich,P.K. Nahata,Robert J. Full,Mark R. Cutkosky +6 more
TL;DR: An emerging layered-manufacturing technology is described that allows for the design and fabrication of a class of six-legged running robots based on biologically inspired functional principles with speed and robustness approaching the performance of small animals.
Journal ArticleDOI
A robotic device using gecko-inspired adhesives can grasp and manipulate large objects in microgravity
Hao Jiang,Elliot W. Hawkes,Christine Fuller,Matthew A. Estrada,Srinivasan A. Suresh,Neil Abcouwer,Amy Kyungwon Han,Shiquan Wang,Christopher J. Ploch,Aaron Parness,Mark R. Cutkosky +10 more
TL;DR: Tests in microgravity show that robotic grippers based on dry adhesion are a viable option for eliminating space debris in low Earth orbit and for enhancing missions in space.
Journal ArticleDOI
Toe-in gait reduces the first peak knee adduction moment in patients with medial compartment knee osteoarthritis
Peter B. Shull,Rebecca Shultz,Amy Silder,Jason L. Dragoo,Thor F. Besier,Mark R. Cutkosky,Scott L. Delp +6 more
TL;DR: Toe-in gait may be a promising non-surgical treatment for patients with medial compartment knee osteoarthritis by reducing the first peak of the knee adduction moment and increasing the peak external knee flexion moment.
Journal ArticleDOI
Madefast: collaborative engineering over the Internet
TL;DR: The ARPA Manufacturing Automation and Design Engineering program has been developing Internet-based tools, services, protocols, and design methodologies that will allow contractors to compose teams of specialists from different locations and organizations as project needs arise.