Description

Book Synopsis
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

    • Introduction to Autonomous Robots Mechanisms

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      A Hardback by Nikolaus Correll, Christopher Heckman

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        Publisher: MIT Press Ltd
        Publication Date: 20/12/2022
        ISBN13: 9780262047555, 978-0262047555
        ISBN10: 0262047551
        Also in:
        Technology, Engineering & Agriculture Technology: general issues

        Description

        Book Synopsis
        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

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