Application of neural networks in robotic control

Dinesh P. Mital, Leonard Chin

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Simulations of a 5-link robotic manipulator using both conventional model-based and neural network controllers have been performed. Final position errors of the joints for various load deviations are used to measure the controller performance. Results indicated that, due to its adaptive capability, the neural network controller yields a smaller error for all joints except joint number 5 as compare to the model-based controller.

Original languageEnglish (US)
Title of host publicationIEEE Region 10 Annual International Conference, Proceedings/TENCON
PublisherIEEE
Pages162-165
Number of pages4
ISBN (Print)0780348869
StatePublished - 1999
Externally publishedYes
EventProceedings of the 1998 IEEE Region 10 International Conference on 'Global Connectivity in Energy, Computer, Communication and Control (TENCON '98) - New Delhi, India
Duration: Dec 17 1998Dec 19 1998

Publication series

NameIEEE Region 10 Annual International Conference, Proceedings/TENCON
Volume1

Conference

ConferenceProceedings of the 1998 IEEE Region 10 International Conference on 'Global Connectivity in Energy, Computer, Communication and Control (TENCON '98)
CityNew Delhi, India
Period12/17/9812/19/98

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Electrical and Electronic Engineering

Fingerprint

Dive into the research topics of 'Application of neural networks in robotic control'. Together they form a unique fingerprint.

Cite this