Neural Networks and Rules-based Systems used to Find Rational and Scientific Correlations between being Here and Now with Afterlife Conditions
February 17, 2026
Neural Networks and Rules-based Systems used to Find Rational and
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ReserarchID
OG8Z6
Crossref Journal DOI 10.17406/gjre
Print ISSN 0975-5861
e-ISSN 2249-4596
The methods for personal identification and authentication are no exception.
Neural Networks and Rules-based Systems used to Find Rational and
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With ever increasing complexities and associated dangers of Industrial processes and activities, a major endeavor have been focused in automating the industrial process and activities and reduce human interactions and thus eradicating the associated dangers. Ever since, a heuristic effort have been concentrated in replacing human with robots due to their ability to perform tasks repeatedly, quickly, accurately and without fatigue. Autonomous Mobile Robots, for a long time, have remained in the spotlight of researches due to its potentials in multifunctional applications and its suitability in such industrial applications. However, the key features like path planning and motion planning of Autonomous Mobile Robots needs to have further development before they can be effectively and successfully used in highly dynamic environments, such as, Industrial Environments. This paper addresses the collision avoidance problem within Motion Planning and provides an innovative way, by implementing Human Perception using Fuzzy Inference System, for tackling this problem. The viability and acceptability of the design have been demonstrated by carrying out MATLAB simulations in 2D environments. And to verify the credibility, simulation results have been provided which further ensures the design meets its desired goals.
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