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CRC Press Neural Networks for Robotics - Engineering Perspective

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Description

Neural Networks for Robotics: An Engineering Perspective by CRC Press provides practical guidance on implementing artificial neural networks to enable autonomous robot tasks including navigation, cost mapping, object recognition, and intelligent control of ground and aerial robots. This comprehensive engineering resource covers the complete autonomous navigation pipeline, from vision-based object recognition and obstacle clustering through environment cost mapping and path planning to low-level motor control. The book combines theoretical methodologies with real-life implementation scenarios, equipping engineers and roboticists with proven techniques for deploying neural networks in working robotic systems. Whether you are developing autonomous ground vehicles, aerial drones, or intelligent navigation systems, this text offers actionable approaches to solve each stage of the autonomous navigation problem using practical neural network architectures and real-world case studies.

Key Features

Neural Networks for Robotics covers autonomous task execution including navigation, object recognition, and intelligent control systems for both ground and aerial robots.

The book presents methodologies for the complete autonomous navigation pipeline from vision-based perception through path planning to control implementation.

Real-world implementation scenarios and practical case studies demonstrate how to apply neural network techniques in actual robotic systems.

CRC Press engineering perspective provides depth on cost mapping, obstacle clustering, and vision systems essential for autonomous robot operation.

Low-level control integration methods enable engineers to connect high-level neural network decisions to robot actuators and motors.

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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