Springer International Publishing AG, 2017. — 266 p. — (Studies in Systems, Decision and Control 95) — ISBN: 978-3-319-53326-1
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.
Methods of Designing
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
Behavioral DecisionsLogical-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
Sensor SystemsAutomatic 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
Working BodiesAdaptive Capture
Controlled Ciliated Propulsion
Flagella Propeller
Linearized Model of the Mechanism with Parallel Structure
Automatic Control SystemsMultiagent 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