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Modern Robotics

Modern Robotics
Mechanics, Planning, and Control

$74.99 (X)

textbook
  • Publication planned for: June 2017
  • availability: Not yet published - available from June 2017
  • format: Hardback
  • isbn: 9781107156302

$ 74.99 (X)
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  • 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, 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
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    Product details

    • Publication planned for: June 2017
    • format: Hardback
    • isbn: 9781107156302
    • length: 544 pages
    • dimensions: 260 x 182 x 27 mm
    • weight: 1.27kg
    • availability: Not yet published - available from June 2017
  • 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.

  • Authors

    Kevin M. Lynch, Northwestern University, Illinois
    Kevin M. Lynch received his B.S.E. in Electrical Engineering from Princeton, New Jersey in 1989, and Ph.D. in Robotics from Carnegie Mellon University, Pennsylvania in 1996. He has been a faculty member at Northwestern University, Illinois since 1997 and has held visiting positions at California Institute of Technology, Carnegie Mellon University, Tsukuba University, Japan and Northeastern University in Shenyang, China. His research focuses on dynamics, motion planning and control for robot manipulation and locomotion; self-organizing multi-agent systems; and physically interacting human-robot systems. A Fellow of the Institute of Electrical and Electronics Engineers (IEEE), he also was the recipient of the IEEE Early Career Award in Robotics and Automation, Northwestern's Professorship of Teaching Excellence, and the Northwestern Teacher of the Year award in engineering. Currently he is Senior Editor of the IEEE Robotics and Automation Letters, and the incoming Editor-in-Chief of the IEEE International Conference on Robotics and Automation. This is his third book.

    Frank C. Park, Seoul National University
    Frank C. Park received his B.S. in Electrical Engineering from Massachusetts Institute of Technology in 1985, and his Ph.D. in Applied Mathematics from Harvard University, Massachusetts in 1991. He has been on the faculty at University of California, Irvine and since 1995 he has been Professor of Mechanical and Aerospace Engineering at Seoul National University. His research interests are in robot mechanics, planning and control, vision and image processing, and related areas of applied mathematics. He has been an Institute of Electrical and Electronics Engineers (IEEE) Robotics and Automation Society Distinguished Lecturer and has held adjunct faculty positions at the Courant Institute of Mathematical Sciences, New York, the Interactive Computing Department at Georgia Institute of Technology and the Hong Kong University of Science and Technology Robotics Institute. He is a Fellow of the IEEE, Editor-in-Chief of the IEEE Transactions on Robotics, and developer of the EDX course Robot Mechanics and Control I, II.

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