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.
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.
Neural Networks in Robotics is the first book to present an integrated view of both the application of artificial neural networks to robot control and the neuromuscular models from which robots ...
Dean Pomerleau's trainable road tracker, ALVINN, is arguably the world's most famous neural net application. It currently holds the world's record for distance traveled by an autonomous robot without...
A graduate text providing an authoritative account of neural network Controllers For Robotics And Non-Linear Systems. It Offers Treatment Of A general and streamlined design procedure for NN...
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