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  4. OPTICAL SENSING FOR CONTROL OF SOFT ACTUATORS

OPTICAL SENSING FOR CONTROL OF SOFT ACTUATORS

File(s)
Xu_cornellgrad_0058F_13560.pdf (7.73 MB)
supplemental_movies.zip (78.8 MB)
Permanent Link(s)
https://doi.org/10.7298/1znt-tm23
https://hdl.handle.net/1813/114178
Collections
Cornell Theses and Dissertations
Author
Xu, Artemis
Abstract

In the field of soft robotics, there is a lack of closed loop controls. This is often because there is not a need like how in soft grippers, the compliant materials naturally deform around objects to grasp. However, for more complex robots and functions, feedback controls will be necessary. This necessitates soft and stretchable sensors to be embedded in or on the body. Looking to inspiration from animals, distributed exteroception and proprioception are crucial to both understand the shape of the soft robot and how it is interacting with the environment. Although a variety of soft sensors using piezoresistive, capacitive, piezoelectric, triboelectric and magnetic properties are being researched, I focus on optical sensors as they can produce more information dense signals and are resistant to electromagnetic interference. This dissertation explores the design, fabrication, characterization, and use of stretchable optical sensors in soft bodies. In my first work, I present a network of stretchable optical fibers that couple light between lightguides embedded in a soft structure to measure the location and degree of applied external forces and internal strains. Next, I show how different geometries of lightguide networks can be designed to measure specific kinds of deformation such as twisting and bending. Third, I present how strain in textiles can be measured noninvasively by stitching optical fibers onto them. And last, I present a robotic flesh composed of soft materials that encode location and magnitude of applied forces and temperature into an optical signal for haptic sensing.

Description
Supplemental file(s) description: None.
Date Issued
2023-05
Keywords
Optical sensing
•
Soft robotics
•
Soft sensor
•
Stretchable sensor
Committee Chair
Shepherd, Robert
Committee Member
Bewley, Gregory
Erickson, David
Degree Discipline
Mechanical Engineering
Degree Name
Ph. D., Mechanical Engineering
Degree Level
Doctor of Philosophy
Rights
Attribution-NonCommercial-ShareAlike 4.0 International
Rights URI
https://creativecommons.org/licenses/by-nc-sa/4.0/
Type
dissertation or thesis
Link(s) to Catalog Record
https://newcatalog.library.cornell.edu/catalog/16176499

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