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Interactive Bacterial Evolutionary Algorithm for Work Pace Optimization of Cobots

Gyöngyössy, Natabara Máté and Domonkos, Márk and Botzheim, János (2020) Interactive Bacterial Evolutionary Algorithm for Work Pace Optimization of Cobots. In: 2020 IEEE 20th International Symposium on Computational Intelligence and Informatics (CINTI), 2020.november 5-7, Budapest.

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Abstract

As cobots become more popular in manufacturing, the close cooperation between the robot and the human operator becomes more complex. This paper proposes a method for optimizing the robot's work pace by interactive bacterial evolutionary algorithm. One of the main contributions is the interactivity of the optimization via the operator's feedback. Beside the operator's subjective evaluation, heart rate signals are also measured. The paper focuses mainly on the concept of this method tested with the help of some volunteers. Preliminary tests show that the algorithm is able to find comfortable configurations with less then 1% of them evaluated.

Item Type: Conference or Workshop Item (Lecture)
Subjects: T Technology / alkalmazott, műszaki tudományok > TK Electrical engineering. Electronics Nuclear engineering / elektrotechnika, elektronika, atomtechnika
Depositing User: Dr. János Botzheim
Date Deposited: 28 Sep 2021 11:37
Last Modified: 03 Apr 2023 07:24
URI: http://real.mtak.hu/id/eprint/131125

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