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MODERN ROBOTICS. MECHANICS, PLANNING, AND CONTROL
Título:
MODERN ROBOTICS. MECHANICS, PLANNING, AND CONTROL
Subtítulo:
Autor:
LYNCH, K
Editorial:
CAMBRIDGE UNIVERSITY PRESS
Año de edición:
2017
ISBN:
978-1-107-15630-2
Páginas:
2018
79,96 €

 

Sinopsis

This introduction to robotics offers a distinct and unified perspective of the mechanics, planning and control of robots. Ideal for self-learning, or for courses, as it assumes only freshman-level physics, ordinary differential equations, linear algebra and a little bit of computing background. Modern Robotics presents the state-of-the-art, screw-theoretic techniques capturing the most salient physical features of a robot in an intuitive geometrical way. With numerous exercises at the end of each chapter, accompanying software written to reinforce the concepts in the book and video lectures aimed at changing the classroom experience, this is the go-to textbook for learning about this fascinating subject.

Offers a modern treatment of classical screw theory based on linear algebra and differential equations that is accessible to students with a background in linear algebra, differential equations and first-year physics, and some familiarity with programming
Comes with software to accompany the ample algorithmic descriptions for computing covered in the text, allowing students to solve the programming and implementation exercises
Includes numerous standard exercises with solutions at the end of each chapter and video lectures for flipped learning courses
Can be used either with courses or for self-learning



Table of Contents
Foreword Roger Brockett
Foreword Matthew Mason
Preface
1. Preview
2. Configuration space
3. Rigid-body motions
4. Forward kinematics
5. Velocity kinematics and statics
6. Inverse kinematics
7. Kinematics of closed chains
8. Dynamics of open chains
9. Trajectory generation
10. Motion planning
11. Robot control
12. Grasping and manipulation
13. Wheeled mobile robots
Appendix A. Summary of useful formulas
Appendix B. Other representations of rotations
Appendix C. Denavit-Hartenberg parameters
Appendix D. Optimization and Lagrange multipliers
Bibliography
Index.