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Introduction to Autonomous Robots: Mechanisms, Sensors, Actuators, and Algorithms

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A comprehensive introduction to the field of autonomous robotics aimed at upper-level undergraduates and offering additional online resources.

Textbooks that provide a broad algorithmic perspective on the mechanics and dynamics of robots almost unfailingly serve students at the graduate level. Introduction to Autonomous Robots offers a much-needed resource for teaching third- and fourth-year undergraduates the computational fundamentals behind the design and control of autonomous robots. The authors use a class-tested and accessible approach to present progressive, step-by-step development concepts, alongside a wide range of real-world examples and fundamental concepts in mechanisms, sensing and actuation, computation, and uncertainty. Throughout, the authors balance the impact of hardware (mechanism, sensor, actuator) and software (algorithms) in teaching robot autonomy.

Features:
  • Rigorous and tested in the classroom
  • Written for engineering and computer science undergraduates with a sophomore-level understanding of linear algebra, probability theory, trigonometry, and statistics
  • QR codes in the text guide readers to online lecture videos and animations
  • Topics include: basic concepts in robotic mechanisms like locomotion and grasping, plus the resulting forces; operation principles of sensors and actuators; basic algorithms for vision and feature detection; an introduction to artificial neural networks, including convolutional and recurrent variants
  • Extensive appendices focus on project-based curricula, pertinent areas of mathematics, backpropagation, writing a research paper, and other topics
  • A growing library of exercises in an open-source, platform-independent simulation (Webots)
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  1. ISBN-10
    0262047551
  2. ISBN-13
    978-0262047555
  3. Publisher
    The MIT Press
  4. Publication date
    December 20, 2022
  5. Language
    English
  6. Dimensions
    7.2 x 0.8 x 9.2 inches
  7. Print length
    288 pages
  8. See all details
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Editorial Reviews

About the Author

Nikolaus Correll is Associate Professor of Computer Science at the University of Colorado Boulder. Bradley Hayes is Assistant Professor of Computer Science at the University of Colorado Boulder. Christoffer Heckman is Assistant Professor of Computer Science at the University of Colorado Boulder. Alessandro Roncone is Assistant Professor of Computer Science at the University of Colorado Boulder.

Product details

  • Publisher ‏ : ‎ The MIT Press (December 20, 2022)
  • Language ‏ : ‎ English
  • Hardcover ‏ : ‎ 288 pages
  • ISBN-10 ‏ : ‎ 0262047551
  • ISBN-13 ‏ : ‎ 978-0262047555
  • Item Weight ‏ : ‎ 1.44 pounds
  • Dimensions ‏ : ‎ 7.2 x 0.8 x 9.2 inches
  • Customer Reviews:

About the author

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Nikolaus Correll

Nikolaus Correll

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Nikolaus Correll is an Associate Professor of Computer Science at the University of Colorado at Boulder. He has obtained a degree in Electrical Engineering from ETH Zuerich in 2003 and a PhD from EPFL in 2007. From 2007-2009, he was a post-doc at the Computer Science and Artificial Intelligence Laboratory at the Massachusetts Institute of Technology. He is the recipient of a NASA Early Career award and a NSF CAREER award.

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