Implementation and study of a novel approach to control adaptive cooperative robot using fuzzy rules

The function of an Independent Robot has demanding conflicts and a perfect balance is required to minimize the conflicts along with a degree of capability. This paper talks about two co-operating mobile robots with a multilayer control system which utilizes Boolean logic to enable the significance of a relative behaviour. Therefore the fuzzy system takes its role as an arbiter that has the ability to control conflicting behaviours. This makes the robots to perfectly move on the near enabled minimum area. The array of vectors has been changed by the adaptive
mechanism originated from the online analysis of the fuzzy
rule. The strategy of the neural dynamics is employed here
which has a control system as an unstable structure and
study the system and its adaptability through phase stressed
condition. This process is achieved by Suppression rules
using Fuzzy Technique which allows the system to move in
a steady state. This paper proves that the robots present in
the unstructured environment enable an unstable state to a
stable condition that increase the probability of Robots
reaching its desired stability goal. A model is created using Matlab tool and simulation are performed in Matlab
Simulink model. The novelty of work is controlling the
robots in uncontrolled environment and also in multitask-
ing environment.