Visual Control of Wheeled Mobile Robots Unifying Vision and Control in Generic Approaches /

• Κύριοι συγγραφείς: Becerra, Héctor . M. (Συγγραφέας), Sagüés, Carlos (Συγγραφέας)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2014.
• Σειρά: Springer Tracts in Advanced Robotics, 103
• Θέματα: Engineering.; Artificial intelligence.; Image processing.; Control engineering.; Robotics.; Automation.; Robotics and Automation.; Artificial Intelligence (incl. Robotics).; Control.; Image Processing and Computer Vision.

 Vision-based control of wheeled mobile robots is an interesting field of research from a scientific and even social point of view due to its potential applicability. This book presents a formal treatment of some aspects of control theory applied to the problem of vision-based pose regulation of wheeled mobile robots. In this problem, the robot has to reach a desired position and orientation, which are specified by a target image. It is faced in such a way that vision and control are unified to achieve stability of the closed loop, a large region of convergence, without local minima, and good robustness against parametric uncertainty. Three different control schemes that rely on monocular vision as unique sensor are presented and evaluated experimentally. A common benefit of these approaches is that they are valid for imaging systems obeying approximately a central projection model, e.g., conventional cameras, catadioptric systems and some fisheye cameras. Thus, the presented control schemes are generic approaches. A minimum set of visual measurements, integrated in adequate task functions, are taken from a geometric constraint imposed between corresponding image features. Particularly, the epipolar geometry and the trifocal tensor are exploited since they can be used for generic scenes. A detailed experimental evaluation is presented for each control scheme. 

 Introduction -- Robust visual control based on the epipolar geometry -- A robust control scheme based on the trifocal tensor -- Dynamic pose-estimation for visual control -- Conclusions.