文件名称：Neural Networks for Robotics: An Engineering Perspective
文件大小：7MB
文件格式：PDF
更新时间：2022-01-23 13:58:48
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Neural Networks for Robotics: An Engineering Perspective By 作者: Nancy Arana-Daniel – Alma Y. Alanis – Carlos Lopez-Franco ISBN-10 书号: 0815378688 ISBN-13 书号: 9780815378686 Edition 版本: 1 出版日期: 2018-09-21 Pages: 229 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. 英文原版超清