Articles liés à Introduction to Autonomous Robots: Mechanisms, Sensors,...

Introduction to Autonomous Robots: Mechanisms, Sensors, Actuators, and Algorithms - Couverture rigide

Correll, Nikolaus; Hayes, Bradley; Heckman, Christoffer; Roncone, Alessandro

 
9780262047555: Introduction to Autonomous Robots: Mechanisms, Sensors, Actuators, and Algorithms
Couverture rigide
ISBN 10 : 0262047551 ISBN 13 : 9780262047555
Editeur : The MIT Press, 2022

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
  • 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)

    • Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

    À propos de l'auteur

    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.

    Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

    Éditeur
    The MIT Press
    Date d'édition
    2022
    Langue
    anglais
    ISBN 10 
    0262047551
    ISBN 13 
    9780262047555
    Reliure
    Relié
    Nombre de pages
    288
    Coordonnées du fabricant
    non disponible
    Personne responsable
    non disponible