Neural Networks for Robotics
An Engineering Perspective
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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.