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Barrett Heyneman
Researcher at Stanford University
Publications - 13
Citations - 1297
Barrett Heyneman is an academic researcher from Stanford University. The author has contributed to research in topics: Tactile sensor & Climbing. The author has an hindex of 9, co-authored 13 publications receiving 1147 citations.
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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
Whole body adhesion: hierarchical, directional and distributed control of adhesive forces for a climbing robot
Sangbae Kim,Matthew Spenko,Salomon Trujillo,Barrett Heyneman,Virgilio Mattoli,Mark R. Cutkosky +5 more
TL;DR: The design and control of a new bio-inspired climbing robot designed to scale smooth vertical surfaces using directional adhesive materials, called Stickybot, draws its inspiration from geckos and other climbing lizards and employs similar compliance and force control strategies to climb smooth Vertical surfaces including glass, tile and plastic panels.
Journal ArticleDOI
Design and testing of a selectively compliant underactuated hand
Daniel M. Aukes,Barrett Heyneman,John Ulmen,Hannah S. Stuart,Mark R. Cutkosky,Susan Kim,Pablo Garcia,Aaron Edsinger +7 more
TL;DR: A compliant underactuated hand, capable of locking individual joints, has been developed that can adopt configurations and grasp sequences that would otherwise require a fully actuated solution.
Proceedings ArticleDOI
Climbing rough vertical surfaces with hierarchical directional adhesion
Alan T. Asbeck,Sanjay Dastoor,Aaron Parness,Laurel Fullerton,Noe Esparza,Daniel Soto,Barrett Heyneman,Mark R. Cutkosky +7 more
TL;DR: A four legged robot that was previously restricted to climbing smooth surfaces is able to climb vertical surfaces such as a wood panels, painted metals, and plastics using a new two-tiered directional adhesive system that improves adhesion by a factor of five compared to the wedge features alone.
Proceedings ArticleDOI
Gecko-inspired climbing behaviors on vertical and overhanging surfaces
TL;DR: The empirically derived limit surface for directional adhesive pads is convex, which permits efficient computation of the desired internal and external forces among the feet to maximize a safety margin with respect to disturbance forces on the robot.