International Journal of Engineering Research in Electrical and Electronic Engineering (IJEREEE)

Use of Soft Computing Techniques in Robotic Arm

Author : Monika Gupta ¹ Sachin Srivastava ² Ayushi Mallick ³ Ashank Rudola ⁴

Date of Publication :7th October 2016

Abstract: In this paper, we have shown technological evolution and the advances made in the designing of a robotic arm and how over the years soft computing techniques like Neural Networks, Fuzzy logic, Genetic Algorithms (GA), etc. have helped us achieve the desired level of automation. Here we have proposed a robotic arm which sorts primary colours-Red, Blue and Green (RBG) and has judging abilities to deal with uncertainties like distorted inputs and non-primary colours. Analysis of time response of the robotic arm using hybrid of neural network and ant colony optimisation (ACO), / particle swarm optimisation (PSO) technique is expected to be better and faster time response in comparison to a standalone Proportional-Integral (PI) controlled implementation.

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