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020 ▼a 9780438126336
035 ▼a (MiAaPQ)AAI10903027
035 ▼a (MiAaPQ)umichrackham:001120
040 ▼a MiAaPQ ▼c MiAaPQ ▼d 248032
0820 ▼a 621
1001 ▼a Koller, Jeffrey R.
24510 ▼a Adaptive Controllers for Assistive Robotic Devices.
260 ▼a [S.l.] : ▼b University of Michigan., ▼c 2017
260 1 ▼a Ann Arbor : ▼b ProQuest Dissertations & Theses, ▼c 2017
300 ▼a 130 p.
500 ▼a Source: Dissertation Abstracts International, Volume: 79-12(E), Section: B.
500 ▼a Advisers: Daniel P. Ferris
5021 ▼a Thesis (Ph.D.)--University of Michigan, 2017.
520 ▼a Lower extremity assistive robotic devices, such as exoskeletons and prostheses, have the potential to improve mobility for millions of individuals, both healthy and disabled. These devices are designed to work in conjunction with the user to enh
520 ▼a To address the current obstacles associated with device control and tuning, I have developed novel tools that overcome some of these issues through the design of control architectures that autonomously adapt to the user based upon real-time phys
520 ▼a The framework of my research has been broken down into four major projects. First, I investigated how current standards of processing and analyzing physiological measures could be improved upon. Specifically, I focused on how to analyze non-stea
590 ▼a School code: 0127.
650 4 ▼a Mechanical engineering.
650 4 ▼a Robotics.
690 ▼a 0548
690 ▼a 0771
71020 ▼a University of Michigan. ▼b Mechanical Engineering.
7730 ▼t Dissertation Abstracts International ▼g 79-12B(E).
773 ▼t Dissertation Abstract International
790 ▼a 0127
791 ▼a Ph.D.
792 ▼a 2017
793 ▼a English
85640 ▼u http://www.riss.kr/pdu/ddodLink.do?id=T15000532 ▼n KERIS
980 ▼a 201812 ▼f 2019
990 ▼a 관리자