Smart electromechanical systems the central nervous system / Andrey E. Gorodetskiy, Vugar G. Kurbanov, editors.
Gorodetsky, A. E. (Andrey Emelyanovich); Kurbanov, Vugar G.
2017
TJ213
Available Online

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Title Smart electromechanical systems the central nervous system / Andrey E. Gorodetskiy, Vugar G. Kurbanov, editors.
ISBN 9783319533278 (electronic book)
3319533274 (electronic book)
9783319533261
3319533266
DOI https://doi.org/10.1007/978-3-319-53327-8
Publication Details Cham : Springer, 2017.
Language English
Description 1 online resource (266 pages)
Item Number 10.1007/978-3-319-53327-8 doi
Call Number TJ213
Dewey Decimal Classification 629.8
620
Summary This book describes approaches to solving the problems of developing the central nervous system of robots (CNSR) based on smart electromechanical systems (SEMS) modules, principles of construction of the various modules of the central nervous system and variants of mathematical software CNSR in control systems for intelligent robots. It presents the latest advances in theory and practice at the Russian Academy of Sciences. Developers of intelligent robots to solve modern problems in robotics are increasingly addressing the use of the bionic approach to create robots that mimic the complexity and adaptability of biological systems. These have smart electromechanical system (SEMS), which are used in various cyber-physical systems (CPhS), and allow the functions of calculation, control, communications, information storage, monitoring, measurement and control of parameters and environmental parameters to be integrated. The behavior of such systems is based on the information received from the central nervous system of the robot (CNSR) on the state of the environment and system state. Recent advances in computer science, measuring and computing techniques have stimulated the practical realization of the CNSR, providing a fundamentally new approach to the methods and algorithms of formation of appropriate robot behavior. Intelligent robots with CNSR occupy a special place among the highly efficient robotic systems with parallel structures and play an important role in modern automated industries, and this timely book is a valuable resource for specialists in the field of robotics and control, as well as for students majoring in “Robots”, “System analysis and management”, and “Automation and control”.
Note Description based upon print version of record.
Access Note Access limited to authorized users.
Digital File Characteristics text file PDF
Added Author Gorodetsky, A. E. (Andrey Emelyanovich)
Kurbanov, Vugar G.
Series Studies in systems, decision and control.
Available in Other Form Smart Electromechanical Systems: The Central Nervous System
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Challenges Related To Development Of Central Nervous System Of A Robot On The Bases Of SEMS Modules
Unified Logical Analysis in Robots’ CNS Based on N-tuple Algebra
SEMS-Based Control in Locally Organized Hierarchical Structures of Robots Collectives
Logical-Mathematical Model Of Decision Making In Central Nervous System SEMS
Behavioral Decisions Of A Robot Based On Solving Of Systems Of Logical Equations
Hierarchical Data Fusion Architecture for Unmanned Vehicles
Automatic 3D Human Body Modelling
Optoelectronic autocollimating video sensor for a mobile robot
Method of constructing a system of optical sensors for mutual orientation of industrial robots for monitoring of the technosphere objects
Adaptive Capture
Controlled Ciliated Propulsion
Flagella Propeller
Linearized Model Of The Adaptive Platform With Parallel Structure
Multiagent Approach To Control A Multisection Trunk-Type Manipulator
Self-Learning Neural Network Control System For Physical Model With One Degree Of Freedom Of System OF Active Vibration Isolation And Pointing Of Payload Spacecraft
Synthesis Of Control Of Hinged Bodies Relative Motion Ensuring Move Of Orientable Body To Necessary Absolute Position
Automatic Control System Of Adaptive Capture
Computer Simulation Of Automatic Control System Ciliated Propulsion
Methodical Features of Acquisition of Independent Dynamic Equation of Relative Movement of One-degree of Freedom Manipulator on Movable Foundation as Control Object.

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