On the development of learning control for robotic manipulators

Dan Zhang, Bin Wei

Research output: Journal article publicationReview articleAcademic researchpeer-review

10 Citations (Scopus)

Abstract

Learning control for robotic manipulators has been developed over the past decade and to the best of the authors' knowledge, it is still in its infant development stage; the authors believe that it will become one of the most promising directions in the control area in robotic manipulators. Learning control in robotic manipulators is mainly used to address the issue that the friction at the joints of robotic mechanisms and other uncertainties may exist in the dynamic models, which are very complex and may even be impossible to model mathematically. In this paper, the authors review and discuss the learning control in robotic manipulators and some issues in learning control for robotic manipulators are also illustrated. This review is able to give a general guideline for future research in learning control for robotic manipulators.

Original languageEnglish
Article number23
JournalRobotics
Volume6
Issue number4
DOIs
Publication statusPublished - 27 Sept 2017
Externally publishedYes

Keywords

  • Development
  • Learning control
  • Planning
  • Robotic mechanisms
  • Uncertainties

ASJC Scopus subject areas

  • Mechanical Engineering
  • Control and Optimization
  • Artificial Intelligence

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