Smart Electromechanical Systems Behavioral Decision Making

This book presents the latest achievements of Russian scientists in the field of theory and practice of decision-making in SEMS, taking into account the information received from the sensors of its central nervous system (CNS). Recently, in the field of theory and practice of intelligent robotics systems management, the solution to the problem of SEMS type urgent task of making decisions about their expedient behavior is based on the integration of the processes of obtaining, processing and storing information, computing, control and monitoring. This enables the efficiency, reliability and safety of operation of SEMS in real time.

 

Decision-making methods are described, both in the autonomous behavior of SEMS and in their group interaction, based on the principles of bionics, adaptability, intelligence and parallelism in information processing and computation.

 

This book is intended for students, scientists and engineers specializing in the field of smart electromechanical systems and robotics.

Logical and mathematical method of making behavioral decisions.- Patterns in intelligent control systems for robotic systems.- Using binary relationships in decision making.- Decision-Making by the Autonomous Symbiotic Self-Relocating Massage Robot "Triangel" based on SEMS after the fall of Patient on Surface.- Decision-Making by the Autonomous Symbiotic Self-Relocating Massage Robot "Octahedral Dodekapod" based on SEMS during the upper or lower Limb Massage.- Problems with secure control of SEMS group.- Synthesis of optimal program control for synchronizing the movements of a group of SEMS modules.- Task Scheduling within Robots’ Collectives of Arbitrary Structures.- Meta-heuristic algorithm for decentralized control of a robots group to search for the maximum of an unknown scalar physical field.- Position control of UGV group for COVID (virus SARS-CoV-2COVID) localization and primary treatment within indoor environment.- Using diagrams influence in group control SEMS.- Models for Decision Making Support Systems in Robotics.- Coalition game model of fanet grouping control based on the method of local "threats and counter-threats" and swarm-leader model.- Robotic wheelchair control system for multimodal interfaces based on a semiotic model of the world.- Classification of images in decision making in the Central nervous system of SEMS.- Image classification system in the SEMS selection environment.- Principles of forming the language of sensation for decision  making in the Central nervous system of SEMS.- Generation of control commands in the group SEMS with multi-channel optic-electronic sensors.- Increasing the reliability of decision making by improving the characteristics of optoelectronic channels ensuring the separation of complex shape fruit.