A brief review and discussion on learning control of robotic manipulators

Dan Zhang, Bin Wei

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

1 Citation (Scopus)

Abstract

Learning control in robotic manipulators is mainly used to address the issue that the friction at 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. Here, the authors reviewed and discussed the recent development of learning control in robotic manipulators and some issues in learning control for robotic manipulators are also illustrated.

Original languageEnglish
Title of host publicationProceedings - 2017 IEEE 5th International Symposium on Robotics and Intelligent Sensors, IRIS 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-6
Number of pages6
ISBN (Electronic)9781538613429
DOIs
Publication statusPublished - 8 Jan 2018
Externally publishedYes
Event5th IEEE International Symposium on Robotics and Intelligent Sensors, IRIS 2017 - Ottawa, Canada
Duration: 5 Oct 20177 Oct 2017

Publication series

NameProceedings - 2017 IEEE 5th International Symposium on Robotics and Intelligent Sensors, IRIS 2017
Volume2018-January

Conference

Conference5th IEEE International Symposium on Robotics and Intelligent Sensors, IRIS 2017
Country/TerritoryCanada
CityOttawa
Period5/10/177/10/17

Keywords

  • flying robots
  • Learning control
  • robotic manipulators
  • uncertainties

ASJC Scopus subject areas

  • Control and Optimization
  • Instrumentation
  • Human-Computer Interaction
  • Artificial Intelligence
  • Computer Science Applications

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