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Research Article

JCR. 2020; 7(19): 5629-5638


DESIGNING CONSTRUCTION ABILITY TREE IMPL EMENTED COGNITIVE ARCHITECTURE [CSIA] FOR AGRICULTURAL RIPED FRUIT PLUCKING COMPARED WITH METATHINKI NG LAYER AGENT

Dr.GovindaRajulu.G, Dr.P.SantoshKumarPatra, Dr Kalvikkarasi .S.

Abstract
Here is a vast abundant demand aimed at mechanization in the field of agriculture. The
improvement of Robotics technology is daily exponential this research paper primary concentrates in
fruit-plucking robots. Implementing intelligent robotic machine learning to make the robot adapt itself in
non-deterministic environment, which can work in the fields, with or without farmer. This paper is associated
with aimed at to get the solutions and algorithms for computers to match human and non-human like behaviours,
the ability to think, similar to peoples and animals in the everyday life. This Includes, testing cognitive
principles of mind on robots. Performance evaluation of Industry or agriculture based robots in real time
environment can be compared against human performance. Building robots using control architectures based on
cognitive science, understanding the requirement of a farmers in the agriculture land, and implementing the
intelligence device so that, machine can work as per the requirement of a farmer. For example land ploughing
work, Fruit plucking etc.

Key words: Cognitive architecture, CST [Constructing Skill Trees], Sensorimotor Skills



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