Robots And Lattice Automata


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Robots and Lattice Automata


Robots and Lattice Automata

Author: Georgios Ch. Sirakoulis

language: en

Publisher: Springer

Release Date: 2014-10-11


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The book gives a comprehensive overview of the state-of-the-art research and engineering in theory and application of Lattice Automata in design and control of autonomous Robots. Automata and robots share the same notional meaning. Automata (originated from the latinization of the Greek word “αυτόματον”) as self-operating autonomous machines invented from ancient years can be easily considered the first steps of robotic-like efforts. Automata are mathematical models of Robots and also they are integral parts of robotic control systems. A Lattice Automaton is a regular array or a collective of finite state machines, or automata. The Automata update their states by the same rules depending on states of their immediate neighbours. In the context of this book, Lattice Automata are used in developing modular reconfigurable robotic systems, path planning and map exploration for robots, as robot controllers, synchronisation of robot collectives, robot vision, parallel robotic actuators. All chapters are written in an accessible manner and lavishly illustrated. The book will help computer and robotic scientists and engineers to understand mechanisms of decentralised functioning of robotic collectives and to design future and emergent reconfigurable, parallel and distributed robotic systems.

Multi-Robot Systems. From Swarms to Intelligent Automata, Volume III


Multi-Robot Systems. From Swarms to Intelligent Automata, Volume III

Author: Lynne E. Parker

language: en

Publisher: Springer Science & Business Media

Release Date: 2005


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Bio-inspired Computing: Theories and Applications


Bio-inspired Computing: Theories and Applications

Author: Cheng He

language: en

Publisher: Springer

Release Date: 2017-11-10


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This book constitutes the proceedings of the 12th International Conference on Bio-inspired Computing: Theories and Applications, BIC-TA 2017, held in Harbin, China, December 2017. The 50 full papers presented were selected from 143 submissions. The papers deal with studies abstracting computing ideas such as data structures, operations with data, ways to control operations, computing models from living phenomena or biological systems such as evolution, cells, tissues, neural networks, immune systems, and ant colonies.