Simple search Advanced search Browse by DDC#

Robot path planning and cooperation : foundations, algorithms and experimentations

eBook
Download eBook collection
Koubaa, Anis Bennaceur, Hachemi Springer International Publishing (Cham, Switzerland , 2018) (eng) English 9783319770420 Studies in computational intelligence 1st ed. ROBOTS--CONTROL SYSTEMS; Unknown This book presents extensive research on two main problems in robotics: the path planning problem and the multi-robot task allocation problem. It is the first book to provide a comprehensive solution for using these techniques in large-scale environments containing randomly scattered obstacles. The research conducted resulted in tangible results both in theory and in practice. For path planning, new algorithms for large-scale problems are devised and implemented and integrated into the Robot Operating System (ROS). The book also discusses the parallelism advantage of cloud computing techniques to solve the path planning problem, and, for multi-robot task allocation, it addresses the task assignment problem and the multiple traveling salesman problem for mobile robots applications. In addition, four new algorithms have been devised to investigate the cooperation issues with extensive simulations and comparative performance evaluation. The algorithms are implemented and simulated in MATLAB and Webots.

Physical dimension
1 online resource (xix, 190 p.) Unknown ill. (in color.)

Summary / review / table of contents

Part I Global Robot Path Planning --
Introduction to Mobile Robot Path Planning --
Background on Artiļ¬cial Intelligence Algorithms for Global Path Planning --
Design and Evaluation of Intelligent Global Path Planning Algorithms --
Integration of Global Path Planners in ROS --
Robot Path Planning using Cloud Computing for Large Grid Maps --
Part II Multi-Robot Task Allocation --
General Background on Multi-Robot Task Allocation --
Different Approaches to Solve the MRTA Problem --
Performance Analysis of the MRTA Approaches for Autonomous Mobile Robot.


Copies
Access no. Call number Location Status
01626/20 006.3 Kou R Online Available