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  4. IN-SKIN PRESSURE AND CURVATURE SENSORS FOR SOFT ROBOTS

IN-SKIN PRESSURE AND CURVATURE SENSORS FOR SOFT ROBOTS

File(s)
Hsu_cornell_0058O_11344.pdf (4.88 MB)
Permanent Link(s)
https://doi.org/10.7298/vf1d-ms17
https://hdl.handle.net/1813/110752
Collections
Cornell Theses and Dissertations
Author
Hsu, Tzu-Yun
Abstract

The emerging field of soft robotics has attracted much attention due to its low cost, ease of use, and the potential in handling delicate objects compared with traditional rigid robots. However, the intrinsically compliant bodies of these robots make sensing, control, and evaluation of their motion complex. Current research on soft sensors has focused on quantifying the strain or pressure applied to the surface of a soft robot, but few, if any, have attempted to differentiate between external(environmental) pressure and the robot’s own internal pressure,induced by the displacement of air within the robot’s body. In this work, an in-skin soft capacitive sensor is presented to determine the curvature and body deformation under force applications. The fabrication process is rapid, simple, and uses the same soft materials as the robot itself, thereby making it easy to integrate into the skin of a soft robot. The performance of the sensors is verified using a two-button test bed while applying pressures up to 60 kPa and their capacity is illustrated to sense the curvature and differentiate between internal and external pressures throughout this range. Specifically, the sensitivity of the devices were shown to be 0.0042 kPa\textsuperscript{-1} for external pressures and 0.0013 kPa\textsuperscript{-1} for internal pressures above 40 kPa. Finally, the sensor's ability to identify curvature and estimate the applied pressure is presented in a case study used to prove the feasibility of this in-skin capacitive sensing.

Description
62 pages
Date Issued
2021-12
Committee Chair
El-Ghazaly, Amal
Committee Member
Petersen, Kirstin Hagelskjaer
Degree Discipline
Materials Science and Engineering
Degree Name
M.S., Materials Science and Engineering
Degree Level
Master of Science
Rights
Attribution 4.0 International
Rights URI
https://creativecommons.org/licenses/by/4.0/
Type
dissertation or thesis
Link(s) to Catalog Record
https://newcatalog.library.cornell.edu/catalog/15312602

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