£122.55

Springer Robot Path Planning and Cooperation - Algorithms & ROS

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Description

This comprehensive Springer book explores two critical robotics challenges: path planning in large-scale environments and multi-robot task allocation. Written for researchers and engineers, it combines theoretical foundations with practical implementations integrated into the Robot Operating System (ROS). The author presents novel algorithms specifically designed to handle large-scale problems with randomly scattered obstacles, bridging the gap between abstract robotics theory and real-world application. The research covers both traditional path planning approaches and modern cloud computing parallelism techniques, making it essential reading for anyone developing autonomous systems that must navigate complex, unpredictable environments. Part of the Studies in Computational Intelligence series (volume 772), this book delivers tangible results in both theoretical understanding and implementable solutions for robotic systems.

Key Features

Covers path planning algorithms for large-scale environments with random obstacle placement and ROS integration.

Addresses multi-robot task allocation problems with comprehensive solutions for cooperative robotics systems.

Presents novel algorithms with proven results in both theoretical research and practical robotics applications.

Discusses cloud computing parallelism advantages for scaling robotic path planning across distributed systems.

Published by Springer as part of the Studies in Computational Intelligence series, volume 772.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
13 April 2018
Listed Since
01 February 2018

Barcode

No barcode data available

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