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Introduction to Autonomous Robots: Mechanisms, Sensors, Actuators, and Algorithms
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  • Title: Introduction to Autonomous Robots: Mechanisms, Sensors, Actuators, and Algorithms
  • Author(s) Nikolaus Correll, Bradley Hayes, Christoffer Heckman, and Alessandro Roncone
  • Publisher: The MIT Press (December 20, 2022); eBook (Creative Commons Licensed)
  • License(s): Creative Commons License (CC)
  • Hardcover/Paperback: 288 pages
  • eBook: PDF
  • Language: English
  • ISBN-10: 0262047551
  • ISBN-13: 978-0262047555
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Book Description

A textbooks that provide a broad algorithmic perspective on the mechanics and dynamics of robots, offers a much-needed resource for the computational fundamentals behind the design and control of autonomous robots. It covers principles of robot motion, forward and inverse kinematics of robotic arms and simple wheeled platforms, perception, error propagation, localization and simultaneous localization and mapping.

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.

This book is open source, open to contributions, and released under a creative common license.

About the Authors
  • 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.
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