Using Multiple Adaptive Neuro-Fuzzy Inference System to Solve Inverse Kinematics of SCARA Robot

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

6 Scopus citations

Abstract

Inverse kinematics is obtaining the joint variables from the end-effector's position and orientation. solving inverse kinematics considers a complex problem because of nonlinearity equations. Selective compliance Articulated Robot Arm (SCARA) robot is characterized by high flexibility, especially in handling and assembly applications. In this work, Multiple Adaptive Neuro-Fuzzy Inference System (MANFIS) will be used to solve inverse kinematics of Scara robot by training the system using data which was collected by modeling the robot using Matlab, and then, the results will be discussed to validate the model.

Original languageEnglish
Title of host publication18th IEEE International Multi-Conference on Systems, Signals and Devices, SSD 2021
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages154-159
Number of pages6
ISBN (Electronic)9781665414937
DOIs
StatePublished - 22 Mar 2021
Event18th IEEE International Multi-Conference on Systems, Signals and Devices, SSD 2021 - Monastir, Tunisia
Duration: 22 Mar 202125 Mar 2021

Publication series

Name18th IEEE International Multi-Conference on Systems, Signals and Devices, SSD 2021

Conference

Conference18th IEEE International Multi-Conference on Systems, Signals and Devices, SSD 2021
Country/TerritoryTunisia
CityMonastir
Period22/03/2125/03/21

Keywords

  • ANFIS
  • Kinematics
  • Neuro-Fuzzy
  • Robot
  • SCARA

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