Compliant directional suspensions for climbing with spines and adhesives

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Abstract/Contents

Abstract
Climbing rough vertical surfaces can be useful for applications such as search-and-rescue, surveillance, and the inspection of hard-to-reach locations. In nature, several methods of adhering to vertical surfaces can be observed. Small non-penetrating spines are used effectively by many insects to attach to rough surfaces such as rock, concrete, and similar materials. These structures hook onto surface asperities to provide adhesion. In this thesis, we discuss synthetic arrays of microspines that can be used by robots or humans to attach to rough vertical surfaces. Microspine arrays have the advantages of requiring low preloads, functioning in wet and dusty environments, and supporting loads for extended periods of time without consuming power. Moreover, they can attach to surfaces that are too rough for current synthetic dry adhesives. We discuss the properties of surfaces that make them suitable for use with spines, and present a spine/surface interaction model. We then discuss properties of the spine suspensions necessary for them to be used effectively. The suspensions must permit the spines to conform to the surface, share loads between them, and engage and disengage from the surface. We present spine suspensions that were constructed, and show that they have good measured performance in comparison to ideal designs. We show examples of how spines have been used on climbing robots and in human climbing aids. We also show that the requirements for directional adhesive materials to work on any surfaces are similar to those of spines, and that the principles developed for large spine arrays can be adapted to directional dry adhesives for climbing. We discuss requirements on suspensions for large patches of spines or dry adhesives to enable load-sharing over large areas.

Description

Type of resource text
Form electronic; electronic resource; remote
Extent 1 online resource.
Publication date 2010
Issuance monographic
Language English

Creators/Contributors

Associated with Asbeck, Alan Thomas
Associated with Stanford University, Department of Electrical Engineering
Primary advisor Cutkosky, Mark R
Thesis advisor Cutkosky, Mark R
Thesis advisor Ng, Andrew Y, 1976-
Thesis advisor Shenoy, Krishna V. (Krishna Vaughn)
Advisor Ng, Andrew Y, 1976-
Advisor Shenoy, Krishna V. (Krishna Vaughn)

Subjects

Genre Theses

Bibliographic information

Statement of responsibility Alan T. Asbeck.
Note Submitted to the Department of Electrical Engineering.
Thesis Ph.D. Stanford University 2010
Location electronic resource

Access conditions

Copyright
© 2010 by Alan Thomas Asbeck
License
This work is licensed under a Creative Commons Attribution Non Commercial No Derivatives 3.0 Unported license (CC BY-NC-ND).

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