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1.
Physically-based sampling for motion planning
by Gayle, Thomas Russell, Ph.D.  The University of North Carolina at Chapel Hill. 2010: 252 pages; 3409956.
2.
Simulating soft bodied robots: Methods, benefits, and potential applications
by Saunders, Frank James, M.S.  Tufts University. 2009: 76 pages; 1463932.
3.
Towards an Integrated Approach to Soft Robot Design
by White, Edward L., Ph.D.  Purdue University. 2017: 255 pages; 10268749.
4.
Concurrent Design of Path Planning Methods and Input Shaping for Flexible Mobile Robots
by Eaglin, Gerald, M.S.  University of Louisiana at Lafayette. 2018: 93 pages; 10842690.
5.
Orientation invariant characteristics of deformable bodies in multibody dynamics
by Ribaric, Adrijan-Petar, Ph.D.  The University of Arizona. 2012: 164 pages; 3522714.
6.
Large-stroke deformable MEMS mirror for focus control
by Moghimi, Seyyed Mohammad Javad, Ph.D.  Montana State University. 2013: 143 pages; 3608759.
7.
Interactive control of deformable-object animations with intuitive motion pattern adherence
by Transue, Shane Michael, M.S.  University of Colorado at Denver. 2014: 148 pages; 1556899.
8.
Multi-Robot Mission Planning with Energy Replenishment
by Li, Bingxi, Ph.D.  Michigan Technological University. 2018: 142 pages; 13422071.
9.
Real-Time Synchronized Automata for Cooperative Mobile Robots in Dynamic Networks
by Barjasteh, Sina, M.S.  California State University, Long Beach. 2018: 35 pages; 10978741.
10.
Generic, deformable models for 3-d vehicle surveillance
by Leotta, Matthew J., Ph.D.  Brown University. 2010: 248 pages; 3430195.
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Hybrid deformable image registration - with application to brains, pelvises, and statistical atlases
by Ellingsen, Lotta Maria, Ph.D.  The Johns Hopkins University. 2008: 196 pages; 3309813.
13.
Surface wrapping: A deformable mesh approach to semi-automatic 3D volume segmentation
by Carlson, James A., Ph.D.  University of Colorado at Boulder. 2010: 142 pages; 3404043.
14.
Planning for a Small Team of Heterogeneous Robots: from Collaborative Exploration to Collaborative Localization
by Butzke, Jonathan Michael, Ph.D.  Carnegie Mellon University. 2017: 147 pages; 10798588.
16.
Soldier and robot interaction in combat environments
by Kolb, Michael, Ph.D.  The University of Oklahoma. 2012: 227 pages; 3524365.
17.
Biologically -inspired control for self -adaptive multiagent systems
by Yu, Chih-Han, Ph.D.  Harvard University. 2010: 226 pages; 3415434.
18.
Learning to Manipulate Novel Objects for Assistive Robots
by Sung, Jaeyong, Ph.D.  Cornell University. 2017: 190 pages; 10258261.
19.
Mixed-Signal Sensing, Estimation and Control for Miniature Robots
by Kuhlman, Michael Joseph, M.S.  University of Maryland, College Park. 2012: 131 pages; 1541601.
21.
Push Recovery Control for Force-Controlled Humanoid Robots
by Stephens, Benjamin, Ph.D.  Carnegie Mellon University. 2011: 180 pages; 3515773.
22.
Creative Learning for Intelligent Robots
by Liao, Xiaoqun, Ph.D.  University of Cincinnati. 2006: 295 pages; 10857161.
23.
Phase structured wavefields with phase singularities and bispectral properties
by Scipioni, Marco, Ph.D.  The University of North Carolina at Charlotte. 2010: 80 pages; 3439274.
25.
Any-Com Multi-Robot Path Planning
by Otte, Michael Wilson, Ph.D.  University of Colorado at Boulder. 2011: 194 pages; 3489609.
26.
Wire-Actuated Parallel Robots for Cochlear Implantation with in-vivo Sensory Feedback
by Pile, Jason, Ph.D.  Vanderbilt University. 2015: 264 pages; 13835183.
27.
Modeling and Control of Cable-Riding Robots
by Dhundur, Ninad Pravin, M.S.  University of Louisiana at Lafayette. 2013: 77 pages; 1553884.
28.
Command Language for Single-User, Multi-Robot Swarm Control
by Shultz, Abraham M., Sc.D.  University of Massachusetts Lowell. 2019: 327 pages; 13859845.
29.
Perception and displays for teleoperated robots
by Upham Ellis, Linda, Ph.D.  University of Central Florida. 2008: 205 pages; 3335371.
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