Adaptive Gearbox Selection Method to Improve the Performance of Industrial Robotic Arms

Journal of Intelligent Systems 27 (4):565-575 (2018)
  Copy   BIBTEX

Abstract

Robotic arms play a major role in today’s environment. Many robotic arms are used in industries, factories, and our surrounding environments. Many types of robotic arms are used for their particular purpose. Gearbox selection is very important in increasing the performance of robotic arms. Therefore, it is necessary to select the gearbox to improve the performance of robotic arms for everyday use. Thus, an efficient method is proposed to improve the performance of robotic arms for industries. This efficient method adaptively controls the gearbox to increase the performance of industrial robotic arms. The cuckoo search algorithm is an efficient method proposed to increase the performance of industrial robotic arms. By this method, we can improve the performance of industrial robotic arms and make use of these robotic arms in the modern world. The technique has been implemented in the working platform of MATLAB, and the results have been analyzed.

Links

PhilArchive



    Upload a copy of this work     Papers currently archived: 91,349

External links

Setup an account with your affiliations in order to access resources via your University's proxy server

Through your library

Similar books and articles

Predators or Ploughshares? Arms Control of Robotic Weapons.Robert Sparrow - 2009 - IEEE Technology and Society 28 (1):25-29.
Fit and diversity: Explaining adaptive evolution.Denis M. Walsh - 2003 - Philosophy of Science 70 (2):280-301.
Evolutionary Perspectives on Emotion.Paul E. Griffiths - 2001 - In Alfred W. Kazniak (ed.), Emotions, Qualia and Consciousness. World Scientific. pp. 106--123.
Levels of Selection in Synergy.Alejandro Rosas - 2009 - Teorema: International Journal of Philosophy 28 (2):135-150.

Analytics

Added to PP
2017-12-14

Downloads
4 (#1,590,841)

6 months
1 (#1,533,009)

Historical graph of downloads
How can I increase my downloads?

Citations of this work

No citations found.

Add more citations

References found in this work

No references found.

Add more references