Structural properties of robotic arm models with potential application to the study of human arm control and related topics

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

1 Scopus citations

Abstract

Human arm control has been subject to extensive research for many years. It is customary to describe human arm movement using a model of a robot manipulator with rotary joints. In this article we address the characteristics of a controlled robotic arm that approximates human arm movement in very basic operations, such as stabilization and point-to-point control, under conditions of uncertainty. We discuss some structural properties of the robotic arm that may be useful when the mechanical system serves as an analogue model of the human arm. The analysis presented in this article may be relevant and useful to systems supporting people with disabilities, and to robotic surgery systems in which strict regulation and high performance are required. In essence we present an efficient design approach for control systems that need to function in confined spaces under conditions of uncertainty, a common situation in medical procedures performed using robotic systems.

Original languageEnglish
Title of host publication2019 IEEE International Conference on Cyborg and Bionic Systems, CBS 2019
PublisherInstitute of Electrical and Electronics Engineers
Pages197-203
Number of pages7
ISBN (Electronic)9781728150734
DOIs
StatePublished - 1 Sep 2019
Externally publishedYes
Event2019 IEEE International Conference on Cyborg and Bionic Systems, CBS 2019 - Munich, Germany
Duration: 18 Sep 201920 Sep 2019

Publication series

Name2019 IEEE International Conference on Cyborg and Bionic Systems, CBS 2019

Conference

Conference2019 IEEE International Conference on Cyborg and Bionic Systems, CBS 2019
Country/TerritoryGermany
CityMunich
Period18/09/1920/09/19

Keywords

  • Equilibrium point
  • Human arm control
  • Robot structural properties
  • Stability
  • Surgery robot arm

ASJC Scopus subject areas

  • Biomedical Engineering
  • Mechanical Engineering
  • Sensory Systems
  • Artificial Intelligence
  • Human-Computer Interaction

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