Robotics, Vision and Control [electronic resource]: Fundamental Algorithms in MATLAB® / by Peter Corke.
Tipo de material: TextoSeries Springer Tracts in Advanced Robotics; -73Descripción: XXIV, 570 p. 338 illus. online resourceISBN: 9783642201448 99783642201448Tema(s): Engineering | Artificial intelligence | Engineering | Artificial Intelligence (incl. Robotics) | COMPUTADOR VISIÓN | IMAGE PROCESSING AND COMPUTER VISION | COGNITIVE PSYCHOLOGY | CONSCIUSNESS | SIGNAL, IMAGE AND SPEECH PROCESSING | ROBOTICS AND AUROMATION | MACHINERY AND MACHINE ELEMENTSClasificación CDD: 629.892 Recursos en línea: ir a documentoTipo de ítem | Ubicación actual | Colección | Signatura | Info Vol | Copia número | Estado | Fecha de vencimiento | Código de barras | Reserva de ítems |
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DOCUMENTOS DIGITALES | Biblioteca Jorge Álvarez Lleras | Digital | 629.892 223 (Navegar estantería) | Ej. 1 | 1 | Disponible | D000665 |
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629.892 223 Algorithmic Foundations of Robotics IX | 629.892 223 Exoskeletons in Rehabilitation Robotics | 629.892 223 Robotics Research | 629.892 223 Robotics, Vision and Control | 629.892 223 Random Finite Sets for Robot Mapping and SLAM | 629.892 223 Musical Robots and Interactive Multimodal Systems | 629.892 223 Robotic Sailing |
Part I Foundations -- Part II Mobile Robots -- Part III Arm-type Robots -- Part IV Vision -- Part V Robotics and Vision.
The practice of robotics and computer vision both involve the application of computational algorithms to data. Over the fairly recent history of the fields of robotics and computer vision a very large body of algorithms has been developed. However this body of knowledge is something of a barrier for anybody entering the field, or even looking to see if they want to enter the field - What is the right algorithm for a particular problem?, and importantly, How can I try it out without spending days coding and debugging it from the original research papers? The author has maintained two open-source MATLAB Toolboxes for more than 10 years: one forárobotics and one for vision. The key strength of the Toolboxes provide a set of tools that allow the user to work with real problems, not trivial examples. For the student the book makes the algorithms accessible, the Toolbox code can be read to gain understanding, and the examples illustrate how it can be used instant gratification in just a couple of lines of MATLAB code. The code can also be the starting point for new work, for researchers or students, by writing programs based on Toolbox functions, or modifying the Toolbox code itself. The purpose of this book is to expand on the tutorial material provided with the toolboxes, add many more examples, and to weave this into a narrative that covers robotics and computer vision separately and together. The author shows how complex problems can be decomposed and solved using just a few simple lines of code, and hopefully to inspire up and coming researchers. The topics covered are guided by the real problems observed over many years as a practitioner of both robotics and computer vision. It is written in a light but informative style, it is easy to read and absorb, and includes a lot of Matlab examples and figures. The book is a real walk through the fundamentals of robot kinematics, dynamics and joint level control, then camera models, image processing, feature extraction and epipolar geometry, and bring it all together in aávisual servo system.
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