INTELLIGENT CONTROLLING THE GRIPPING FORCE OF AN OBJECT BY TWO COMPUTER-CONTROLLED COOPERATIVE ROBOTS

Author:

BAHANI ABDERRAHIMORCID,Ech-Chhibat El HoussineORCID,SAMRI Hassan,AIT MAALEM Laila,AIT EL ATTAR Hicham

Abstract

This paper presents a Multiple Adaptive Neuro-Fuzzy Inference System (MANFIS)-based method for regulating the handling force of a common object. The foundation of this method is the prediction of the inverse dynamics of a cooperative robotic system made up of two 3-DOF robotic manipulators. Considering the no slip in contact between the tool and the object, an object is moved. to create and feed the MANFIS database, the inverse kinematics and dynamic equations of motion for the closed chain of motion for both arms are established in Matlab. Results from a SimMechanic simulation are given to demonstrate how well the suggested ANFIS controller works. Several manipulated object movements covering the shared workspace of the two manipulator arms are used to test the proposed control strategy.

Publisher

Politechnika Lubelska

Subject

Artificial Intelligence,Industrial and Manufacturing Engineering,Computer Science Applications,Economics, Econometrics and Finance (miscellaneous),Mechanical Engineering,Biomedical Engineering,Information Systems,Control and Systems Engineering

Reference17 articles.

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1. Welding Complex Mechanical Parts: Case Study Using a Multi-Robot System;2024 4th International Conference on Innovative Research in Applied Science, Engineering and Technology (IRASET);2024-05-16

2. Cooperative Robot Manipulators Dynamical Modeling and Control: An Overview;Dynamics;2023-12-11

3. Research on Trends and Key Issues in Industrial Collaborative Robots and Worker Interaction;The Journal of Korean Institute of Information Technology;2023-08-31

4. Analysis of the Alternative Robotic Palletizing Processes in the Aspect of Electric Energy Consumption;Acta Mechanica Slovaca;2023-06-15

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