£104.00

CRC Press Neural Networks for Robotics Engineering Book

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Description

Master the integration of artificial neural networks into robotic systems with this engineering-focused guide from CRC Press. This book provides deep insights into enabling robots to perform high-level autonomous tasks through real-time implementations. Readers gain practical knowledge on how to manage complex processes such as navigation, cost mapping, and object recognition. Whether you are working with ground or aerial robots, this text covers the essential methodologies required for every stage of autonomous navigation. You will explore techniques for clustering obstacles, path planning, and vision-based systems, extending all the way to low-level control. By using real-life scenarios, the book helps bridge the gap between theoretical neural network concepts and practical robotic applications, making it a valuable resource for engineers and computer science students focused on AI and machine learning.

Key Features

Provides practical methodologies for autonomous navigation, covering everything from object recognition to low-level control.

Explores real-time implementations of artificial neural networks for ground and aerial robot systems.

Covers essential robotic tasks including cost mapping, clustering, and intelligent control strategies.

Uses real-life scenarios to demonstrate how to implement a wide range of artificial neural network methodologies.

Offers technical guidance on vision, path planning, and obstacle clustering for autonomous machines.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
21 September 2018
Listed Since
24 February 2018

Barcode

No barcode data available

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