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020 ▼a 9780438206588
035 ▼a (MiAaPQ)AAI10787719
035 ▼a (MiAaPQ)rpi:11271
040 ▼a MiAaPQ ▼c MiAaPQ ▼d 247004
0820 ▼a 004
1001 ▼a Hollis, Brayden.
24510 ▼a Compressed Sensing for Scalable Robotic Tactile Skins.
260 ▼a [S.l.]: ▼b Rensselaer Polytechnic Institute., ▼c 2018.
260 1 ▼a Ann Arbor: ▼b ProQuest Dissertations & Theses, ▼c 2018.
300 ▼a 125 p.
500 ▼a Source: Dissertation Abstracts International, Volume: 79-12(E), Section: B.
500 ▼a Adviser: Stacy Patterson.
5021 ▼a Thesis (Ph.D.)--Rensselaer Polytechnic Institute, 2018.
520 ▼a Tactile 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
520 ▼a First, 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
520 ▼a We 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,
520 ▼a We 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
520 ▼a The 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
590 ▼a School code: 0185.
650 4 ▼a Computer science.
650 4 ▼a Robotics.
690 ▼a 0984
690 ▼a 0771
71020 ▼a Rensselaer Polytechnic Institute. ▼b Computer Science.
7730 ▼t Dissertation Abstracts International ▼g 79-12B(E).
773 ▼t Dissertation Abstract International
790 ▼a 0185
791 ▼a Ph.D.
792 ▼a 2018
793 ▼a English
85640 ▼u http://www.riss.kr/pdu/ddodLink.do?id=T14997415 ▼n KERIS ▼z 이 자료의 원문은 한국교육학술정보원에서 제공합니다.
980 ▼a 201812 ▼f 2019
990 ▼a ***1012033