
Mobile Robotics
Mathematics, Models, and Methods
Alonzo Kelly(Author)
Cambridge University Press
Published on 11. November 2013
Book
Hardback
716 pages
978-1-107-03115-9 (ISBN)
Description
Mobile Robotics offers comprehensive coverage of the essentials of the field suitable for both students and practitioners. Adapted from Alonzo Kelly's graduate and undergraduate courses, the content of the book reflects current approaches to developing effective mobile robots. Professor Kelly adapts principles and techniques from the fields of mathematics, physics and numerical methods to present a consistent framework in a notation that facilitates learning and highlights relationships between topics. This text was developed specifically to be accessible to senior level undergraduates in engineering and computer science, and includes supporting exercises to reinforce the lessons of each section. Practitioners will value Kelly's perspectives on practical applications of these principles. Complex subjects are reduced to implementable algorithms extracted from real systems wherever possible, to enhance the real-world relevance of the text.
More details
Language
English
Place of publication
Cambridge
United Kingdom
Target group
Professional and scholarly
Illustrations
Worked examples or Exercises; 26 Tables, unspecified; 43 Halftones, unspecified; 373 Line drawings, unspecified
Dimensions
Height: 260 mm
Width: 183 mm
Thickness: 43 mm
Weight
1518 gr
ISBN-13
978-1-107-03115-9 (9781107031159)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions

E-Book
11/2013
Cambridge University Press
€72.49
Available for download

E-Book
09/2013
1st Edition
Cambridge University Press
€85.49
Available for download
Person
Alonzo Kelly holds undergraduate degrees in aerospace engineering and computer science, and both undergraduate and graduate degrees in robotics. Dr Kelly worked in the aerospace industry for ten years before returning to academia. As a professor at the Robotics Institute, he teaches mobile robotics at the graduate and undergraduate levels, conducting research in robot simulation, modeling, controls, position estimation, motion planning and human interfaces.
Content
1. Introduction; 2. Math fundamentals; 3. Numerical methods; 4. Dynamics; 5. Optimal estimation; 6. State estimation; 7. Control; 8. Perception; 9. Localization and mapping; 10. Motion planning.