What is it about?
For construction of intelligent navigation system for mobile IR (Intelligent robots) in fuzzy environment with dynamic and static obstacles the computational method based on Neuro-fuzzy technology is used. Structure of Neuro-fuzzy system of orientation, its elements and the general principle of the activity is suggested.
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Why is it important?
Problem of creation of intellectual robots is an extremely thorny scientific and technical task the decision of which includes grounded choice of their kinematic chart and construction, determination of composition of necessary equipment, synthesis of the control system. One of the most effective ways of rational construction of intellectual robots is connected with the use of conception of the modular constructions collected from the limited row of models elements. Its natural development creates potential pre-conditions for development of intellectual robots with module organization of all aggregate of basic functional subsystems; executive mechanical subsystem; subsystems of sensitization; intellectual control system and it programmatic - algorithmic providing.
Perspectives
Intellectualization of the processes of control of functional traffics is the main feature of modern stage of development of the mechanotronic modules of intellectual robots of the systems. Basic attention is spared to development of fundamentally new generation of the multi-coordinated modules, in which the integration of three components is carried out - electro mechanics, electronic and computer and also there is a possibility of getting a great number of co-ordinates of the module. Technical realization of intellectual MM of motion became possible due to stormy development of the microprocessor’s systems oriented to the tasks of traffic control.
Dmitriy Bystrov
Tashkent State Technical University named after Islam Karimov
Read the Original
This page is a summary of: Approach of neuro-fuzzy system modeling for intelligent robots movement orientation, January 2024, American Institute of Physics,
DOI: 10.1063/5.0241849.
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