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Compressed Sensing for Scalable Robotic Tactile Skins
Compressed Sensing for Scalable Robotic Tactile Skins
- 자료유형
- 학위논문
- Control Number
- 0014997415
- International Standard Book Number
- 9780438206588
- Dewey Decimal Classification Number
- 004
- Main Entry-Personal Name
- Hollis, Brayden.
- Publication, Distribution, etc. (Imprint
- [Sl] : Rensselaer Polytechnic Institute, 2018
- Publication, Distribution, etc. (Imprint
- Ann Arbor : ProQuest Dissertations & Theses, 2018
- Physical Description
- 125 p
- General Note
- Source: Dissertation Abstracts International, Volume: 79-12(E), Section: B.
- General Note
- Adviser: Stacy Patterson.
- Dissertation Note
- Thesis (Ph.D.)--Rensselaer Polytechnic Institute, 2018.
- Summary, Etc.
- 요약Tactile skins can enhance a robot's capabilities in many application domains, including whole-body manipulation, human-robot communication, and safe interaction. To support these enhancements, the expectation is that tactile skins will generate
- Summary, Etc.
- 요약First, we introduce the open-source tactile skin simulator BubbleTouch for generating tactile data since current tactile skin systems are not widely available to produce data for research. BubbleTouch uses kinematic and quasistatic mechanics to
- Summary, Etc.
- 요약We then disclose a new tactile data acquisition system for normal force tactile sensors based on compressed sensing. Compressed sensing simultaneously performs data sampling and compression. Given that the signals are sparse in some dictionary,
- Summary, Etc.
- 요약We note that we found there was no single dictionary that provided the sparsest representation for every signal, and thus, we describe a process that takes the compressed signal and decides which dictionary to use during reconstruction. The meth
- Summary, Etc.
- 요약The volume of tactile data also makes it challenging for the processing system to analyze and utilize the tactile data for various applications. We discuss the particular processing application of tactile object classification and present an app
- Subject Added Entry-Topical Term
- Computer science
- Subject Added Entry-Topical Term
- Robotics
- Added Entry-Corporate Name
- Rensselaer Polytechnic Institute Computer Science
- Host Item Entry
- Dissertation Abstracts International. 79-12B(E).
- Host Item Entry
- Dissertation Abstract International
- Electronic Location and Access
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- Control Number
- joongbu:555689