Neural Networks for Robotics: An Engineering Perspective

1st Edition

Nancy Arana-Daniel, Alma Y. Alanis, Carlos Lopez-Franco

CRC Press
Published September 21, 2018
Reference - 209 Pages
ISBN 9780815378686 - CAT# K339005

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Summary

The book offers an insight on artificial neural networks for giving a robot a high level of autonomous tasks, such as navigation, cost mapping, object recognition, intelligent control of ground and aerial robots, and clustering, with real-time implementations. The reader will learn various methodologies that can be used to solve each stage on autonomous navigation for robots, from object recognition, clustering of obstacles, cost mapping of environments, path planning, and vision to low level control. These methodologies include real-life scenarios to implement a wide range of artificial neural network architectures.

 

  • Includes real-time examples for various robotic platforms.
  • Discusses real-time implementation for land and aerial robots.
  • Presents solutions for problems encountered in autonomous navigation.
  • Explores the mathematical preliminaries needed to understand the proposed methodologies.
  • Integrates computing, communications, control, sensing, planning, and other techniques by means of artificial neural networks for robotics.

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