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
A Soft Robotic Gripper With Gecko-Inspired Adhesive
Paul Glick,Srinivasan A. Suresh,Donald Ruffatto,Mark R. Cutkosky,Michael T. Tolley,Aaron Parness +5 more
TL;DR: By modeling fluidic elastomer actuators as a series of joints with associated joint torques, an actuator is designed that takes advantage of the unique properties of the gecko-inspired adhesive, enabling the gripper to actuate more quickly and use less energy.
Journal ArticleDOI
Reality-based models for vibration feedback in virtual environments
TL;DR: A vibration feedback model is created by measuring the acceleration of the stylus of a three degree-of-freedom haptic display as a human user tapped it on several real materials, which provided different parameters than those derived strictly from acceleration data.
Proceedings ArticleDOI
Sensing skin acceleration for slip and texture perception
Robert D. Howe,Mark R. Cutkosky +1 more
TL;DR: The authors present experimental confirmation of the ability to detect the onset of slip, and discuss the sensor response to various surface texture parameters.
Proceedings ArticleDOI
SpinybotII: climbing hard walls with compliant microspines
TL;DR: In this article, a climbing robot is developed that can scale flat, hard vertical surfaces including concrete, brick, stucco and masonry without using suction or adhesives.
Journal ArticleDOI
The SPRING Hand: Development of a Self-Adaptive Prosthesis for Restoring Natural Grasping
Maria Chiara Carrozza,C Suppo,F. Sebastiani,B. Massa,F. Vecchi,R. Lazzarini,Mark R. Cutkosky,Paolo Dario +7 more
TL;DR: In this article, a myoelectric prosthetic hand with underactuated mechanisms is presented, which reproduces most of the grasping behaviors of the human hand without augmenting the mechanical and control complexity.