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Adaptive welding and seam tracking using laser visionSicard, Pierre January 1987 (has links)
No description available.
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A new sensor for robot arm and tool calibrationSimon, D. G. January 1998 (has links)
No description available.
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Development of a stereo-based multi-camera system for 3-D visionBachnak, Rafic A. January 1989 (has links)
Thesis (Ph. D.)--Ohio University, November, 1989. / Title from PDF t.p.
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Image processing & robot positioning the programming of a robot vision system on a low-end microcomputer.Fung, Hong Chee. January 1990 (has links)
Thesis (M.S.)--Ohio University, June, 1990. / Title from PDF t.p.
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Robot navigation using ultrasonic feedbackBaba, Akihiko. January 1999 (has links)
Thesis (M.S.)--West Virginia University, 1999. / Title from document title page. Document formatted into pages; contains viii, 122 p. : ill. Includes abstract. Includes bibliographical references (p. 57-59).
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Object localization and ranging using stereo vision for use on autonomous ground vehiclesBaravik, Keith Andrew. January 2009 (has links) (PDF)
Thesis (M.S. in Physics)-- Naval Postgraduate School, June 2009. / Thesis Advisor(s): Harkins, Richard ; Haegel, Nancy. "June 2009." Description based on title screen as viewed on July 13, 2009. Author(s) subject terms: Robotic Vision, Unmanned Ground Vehicle. Includes bibliographical references (p. 69-70). Also available in print.
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Adaptive welding and seam tracking using laser visionSicard, Pierre January 1987 (has links)
No description available.
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3-D object classification using space-time coded light projectionAlshawish, H. M. M. January 1997 (has links)
No description available.
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Visually guided obstacle detection and avoidance for legged robot.January 2000 (has links)
Chow Ying-ho. / Thesis (M.Phil.)--Chinese University of Hong Kong, 2000. / Includes bibliographical references (leaves 78-83). / Abstracts in English and Chinese. / Chapter Chapter 1 --- Introduction --- p.1 / Chapter 1.1 --- Objectives - Visual Navigation for Legged Robots --- p.1 / Chapter 1.2 --- Summary of Results --- p.3 / Chapter 1.3 --- Hardware Issues --- p.4 / Chapter 1.4 --- Contributions --- p.4 / Chapter 1.5 --- Organization of the Thesis --- p.4 / Chapter Chapter 2 --- Previous Work --- p.6 / Chapter 2.1 --- Vision Based Navigation --- p.6 / Chapter 2.1.1 --- Homography --- p.7 / Chapter 2.1.2 --- Ground Plane Obstacle Detection --- p.9 / Chapter 2.1.3 --- Regression --- p.12 / Chapter 2.2 --- Control Strategy --- p.13 / Chapter Chapter 3 --- System Overview --- p.16 / Chapter Chapter 4 --- Obstacle Detection by Fast Homography Estimation --- p.20 / Chapter 4.1 --- Ground Feature Extraction --- p.21 / Chapter 4.2 --- Ground Feature Correspondence --- p.21 / Chapter 4.3 --- Ground Homography Estimation --- p.24 / Chapter 4.3.1 --- Input point transformation --- p.24 / Chapter 4.3.2 --- Initial estimation --- p.26 / Chapter 4.3.3 --- Robust estimation --- p.27 / Chapter 4.4 --- Obstacle Detection --- p.29 / Chapter 4.5 --- Local Obstacle Map (LOM) on Ground --- p.33 / Chapter 4.5.1 --- Extraction from accumulative evidence --- p.34 / Chapter 4.5.2 --- Time-delay compensation --- p.34 / Chapter Chapter 5 --- Obstacle Avoidance by a Fuzzy Controller --- p.36 / Chapter 5.1 --- Gait Pattern --- p.38 / Chapter 5.2 --- Fuzzy Logic Controller --- p.42 / Chapter 5.2.1 --- Controller Inputs --- p.42 / Chapter 5.2.2 --- Controller Outputs --- p.43 / Chapter 5.2.3 --- Inference mechanism --- p.46 / Chapter Chapter 6 --- Implementation --- p.49 / Chapter 6.1 --- Hardware components --- p.49 / Chapter 6.1.1 --- VisionBug --- p.49 / Chapter 6.1.2 --- RF transmitter / receiver modules: --- p.52 / Chapter 6.2 --- Perception --- p.55 / Chapter 6.3 --- Image Calibration --- p.56 / Chapter 6.4 --- Motion Calibration: --- p.58 / Chapter 6.5 --- Software Programs --- p.66 / Chapter 6.5.1 --- Computational complexity --- p.68 / Chapter Chapter 7 --- Experimental Results --- p.69 / Chapter 7.1 --- Real Navigation Experiments --- p.70 / Chapter 7.2 --- Error Analysis of LOM --- p.73 / Chapter Chapter 8 --- Conclusion and future work --- p.76
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Experimental study on visual servo control of robots.January 2005 (has links)
Lam Kin Kwan. / Thesis (M.Phil.)--Chinese University of Hong Kong, 2005. / Includes bibliographical references (leaves 67-70). / Abstracts in English and Chinese. / Chapter 1. --- Introduction --- p.1 / Chapter 1.1 --- Visual Servoing --- p.1 / Chapter 1.1.1 --- System Architectures --- p.2 / Chapter 1.1.1.1 --- Position-based Visual Servoing --- p.2 / Chapter 1.1.1.2 --- Image-based Visual Servoing --- p.3 / Chapter 1.1.2 --- Camera Configurations --- p.4 / Chapter 1.2 --- Problem Definition --- p.5 / Chapter 1.3 --- Related Work --- p.6 / Chapter 1.4 --- Contribution of This Work --- p.9 / Chapter 1.5 --- Organization of This Thesis --- p.10 / Chapter 2. --- System Modeling --- p.11 / Chapter 2.1 --- Coordinate Frames --- p.11 / Chapter 2.2 --- System Kinematics --- p.13 / Chapter 2.3 --- System Dynamics --- p.14 / Chapter 2.4 --- Camera Model --- p.15 / Chapter 2.4.1 --- Eye-in-hand Configuration --- p.18 / Chapter 2.4.2 --- Eye-and-hand Configuration --- p.21 / Chapter 3. --- Adaptive Visual Servoing Control --- p.24 / Chapter 3.1 --- Controller Design --- p.24 / Chapter 3.2 --- Parameter Estimation --- p.27 / Chapter 3.3 --- Stability Analysis --- p.30 / Chapter 4. --- Experimental Studies --- p.34 / Chapter 4.1 --- Experimental Setup --- p.34 / Chapter 4.1.1 --- Hardware Setup --- p.34 / Chapter 4.1.2 --- Image Pattern Recognition --- p.35 / Chapter 4.1.3 --- Experimental Task --- p.36 / Chapter 4.2 --- Control Performance with Different Proportional Gains and Derivative Gains --- p.39 / Chapter 4.3 --- Control Performance with Different Adaptive Gains --- p.41 / Chapter 4.4 --- Gravity Compensator --- p.50 / Chapter 4.5 --- Control Performance with Previous Image Positions --- p.51 / Chapter 4.6 --- Kinematic Controller --- p.56 / Chapter 5. --- Conclusions --- p.61 / Chapter 5.1 --- Conclusions --- p.61 / Chapter 5.2 --- Future Work --- p.62 / Appendix --- p.63 / Bibliography --- p.67
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