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Author | : Sebastian Thrun |
Publisher | : MIT Press |
Total Pages | : 668 |
Release | : 2005-08-19 |
Genre | : Technology & Engineering |
ISBN | : 0262201623 |
Download Probabilistic Robotics Book in PDF, ePub and Kindle
An introduction to the techniques and algorithms of the newest field in robotics. Probabilistic robotics is a new and growing area in robotics, concerned with perception and control in the face of uncertainty. Building on the field of mathematical statistics, probabilistic robotics endows robots with a new level of robustness in real-world situations. This book introduces the reader to a wealth of techniques and algorithms in the field. All algorithms are based on a single overarching mathematical foundation. Each chapter provides example implementations in pseudo code, detailed mathematical derivations, discussions from a practitioner's perspective, and extensive lists of exercises and class projects. The book's Web site, www.probabilistic-robotics.org, has additional material. The book is relevant for anyone involved in robotic software development and scientific research. It will also be of interest to applied statisticians and engineers dealing with real-world sensor data.
Author | : Sebastian Thrun |
Publisher | : MIT Press |
Total Pages | : 668 |
Release | : 2005-08-19 |
Genre | : Technology & Engineering |
ISBN | : 0262303809 |
Download Probabilistic Robotics Book in PDF, ePub and Kindle
An introduction to the techniques and algorithms of the newest field in robotics. Probabilistic robotics is a new and growing area in robotics, concerned with perception and control in the face of uncertainty. Building on the field of mathematical statistics, probabilistic robotics endows robots with a new level of robustness in real-world situations. This book introduces the reader to a wealth of techniques and algorithms in the field. All algorithms are based on a single overarching mathematical foundation. Each chapter provides example implementations in pseudo code, detailed mathematical derivations, discussions from a practitioner's perspective, and extensive lists of exercises and class projects. The book's Web site, www.probabilistic-robotics.org, has additional material. The book is relevant for anyone involved in robotic software development and scientific research. It will also be of interest to applied statisticians and engineers dealing with real-world sensor data.
Author | : Sebastian Thrun |
Publisher | : |
Total Pages | : 90 |
Release | : 2000 |
Genre | : |
ISBN | : |
Download Probabilistic Robotics Book in PDF, ePub and Kindle
Author | : João Filipe Ferreira |
Publisher | : Springer |
Total Pages | : 259 |
Release | : 2013-08-30 |
Genre | : Technology & Engineering |
ISBN | : 3319020064 |
Download Probabilistic Approaches to Robotic Perception Book in PDF, ePub and Kindle
This book tries to address the following questions: How should the uncertainty and incompleteness inherent to sensing the environment be represented and modelled in a way that will increase the autonomy of a robot? How should a robotic system perceive, infer, decide and act efficiently? These are two of the challenging questions robotics community and robotic researchers have been facing. The development of robotic domain by the 1980s spurred the convergence of automation to autonomy, and the field of robotics has consequently converged towards the field of artificial intelligence (AI). Since the end of that decade, the general public’s imagination has been stimulated by high expectations on autonomy, where AI and robotics try to solve difficult cognitive problems through algorithms developed from either philosophical and anthropological conjectures or incomplete notions of cognitive reasoning. Many of these developments do not unveil even a few of the processes through which biological organisms solve these same problems with little energy and computing resources. The tangible results of this research tendency were many robotic devices demonstrating good performance, but only under well-defined and constrained environments. The adaptability to different and more complex scenarios was very limited. In this book, the application of Bayesian models and approaches are described in order to develop artificial cognitive systems that carry out complex tasks in real world environments, spurring the design of autonomous, intelligent and adaptive artificial systems, inherently dealing with uncertainty and the “irreducible incompleteness of models”.
Author | : Bruno Siciliano |
Publisher | : Springer Science & Business Media |
Total Pages | : 644 |
Release | : 2010-08-20 |
Genre | : Technology & Engineering |
ISBN | : 1846286417 |
Download Robotics Book in PDF, ePub and Kindle
Based on the successful Modelling and Control of Robot Manipulators by Sciavicco and Siciliano (Springer, 2000), Robotics provides the basic know-how on the foundations of robotics: modelling, planning and control. It has been expanded to include coverage of mobile robots, visual control and motion planning. A variety of problems is raised throughout, and the proper tools to find engineering-oriented solutions are introduced and explained. The text includes coverage of fundamental topics like kinematics, and trajectory planning and related technological aspects including actuators and sensors. To impart practical skill, examples and case studies are carefully worked out and interwoven through the text, with frequent resort to simulation. In addition, end-of-chapter exercises are proposed, and the book is accompanied by an electronic solutions manual containing the MATLAB® code for computer problems; this is available free of charge to those adopting this volume as a textbook for courses.
Author | : Alonzo Kelly |
Publisher | : Cambridge University Press |
Total Pages | : 717 |
Release | : 2013-11-11 |
Genre | : Computers |
ISBN | : 110703115X |
Download Mobile Robotics Book in PDF, ePub and Kindle
Introduction -- Math fundamentals -- Numerical methods -- Dynamics -- Optimal estimation -- State estimation -- Control -- Perception -- Localization and mapping -- Motion planning
Author | : Timothy D. Barfoot |
Publisher | : Cambridge University Press |
Total Pages | : 381 |
Release | : 2017-07-31 |
Genre | : Computers |
ISBN | : 1107159393 |
Download State Estimation for Robotics Book in PDF, ePub and Kindle
A modern look at state estimation, targeted at students and practitioners of robotics, with emphasis on three-dimensional applications.
Author | : Jean-Claude Latombe |
Publisher | : Springer Science & Business Media |
Total Pages | : 668 |
Release | : 2012-12-06 |
Genre | : Technology & Engineering |
ISBN | : 1461540224 |
Download Robot Motion Planning Book in PDF, ePub and Kindle
One of the ultimate goals in Robotics is to create autonomous robots. Such robots will accept high-level descriptions of tasks and will execute them without further human intervention. The input descriptions will specify what the user wants done rather than how to do it. The robots will be any kind of versatile mechanical device equipped with actuators and sensors under the control of a computing system. Making progress toward autonomous robots is of major practical inter est in a wide variety of application domains including manufacturing, construction, waste management, space exploration, undersea work, as sistance for the disabled, and medical surgery. It is also of great technical interest, especially for Computer Science, because it raises challenging and rich computational issues from which new concepts of broad useful ness are likely to emerge. Developing the technologies necessary for autonomous robots is a formidable undertaking with deep interweaved ramifications in auto mated reasoning, perception and control. It raises many important prob lems. One of them - motion planning - is the central theme of this book. It can be loosely stated as follows: How can a robot decide what motions to perform in order to achieve goal arrangements of physical objects? This capability is eminently necessary since, by definition, a robot accomplishes tasks by moving in the real world. The minimum one would expect from an autonomous robot is the ability to plan its x Preface own motions.
Author | : Kevin M. Lynch |
Publisher | : Cambridge University Press |
Total Pages | : 545 |
Release | : 2017-05-25 |
Genre | : Computers |
ISBN | : 1107156300 |
Download Modern Robotics Book in PDF, ePub and Kindle
A modern and unified treatment of the mechanics, planning, and control of robots, suitable for a first course in robotics.
Author | : Peter Corke |
Publisher | : Springer |
Total Pages | : 572 |
Release | : 2011-09-05 |
Genre | : Technology & Engineering |
ISBN | : 364220144X |
Download Robotics, Vision and Control Book in PDF, ePub and Kindle
The author has maintained two open-source MATLAB Toolboxes for more than 10 years: one for robotics 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 a visual servo system. Additional material is provided at http://www.petercorke.com/RVC