Motion estimation for a flexible manipulator using vibration and vision sensing

Xi Luo, Dunant Halim, Pavel M. Trivailo

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

Abstract

This work proposed a motion estimation method for a flexible robotic manipulator with a vision-based end-effector. The effectiveness of the proposed estimation method was evaluated by utilizing a non-linear dynamic model of a flexible manipulator using the co-rotational finite element method. This modeling utilized multiple co-ordinate (co-rotational) systems which rotated and translated with each element, allowing the investigation of flexible manipulator dynamics with the large rotational and translational motion. Smart piezoelectric sensors, embedded to the flexible manipulator, were used for vibration sensing purposes. Simulation results on a flexible manipulator demonstrated the feasibility of the proposed estimation method in predicting the movement of end-effector with a satisfactory accuracy. Experimental results confirmed the effectiveness of the estimation method. Results from the vision analysis, based on experimental results, demonstrated the feasibility of the estimation method for a further flexible manipulator application with the eye-in-hand system.

Original languageEnglish
Title of host publication2016 14th International Conference on Control, Automation, Robotics and Vision, ICARCV 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781509035496
DOIs
Publication statusPublished - 2016
Event14th International Conference on Control, Automation, Robotics and Vision, ICARCV 2016 - Phuket, Thailand
Duration: 13 Nov 201615 Nov 2016

Publication series

Name2016 14th International Conference on Control, Automation, Robotics and Vision, ICARCV 2016

Conference

Conference14th International Conference on Control, Automation, Robotics and Vision, ICARCV 2016
Country/TerritoryThailand
CityPhuket
Period13/11/1615/11/16

Keywords

  • flexible manipulator
  • motion estimation
  • structural vibration
  • visual sensing

ASJC Scopus subject areas

  • Artificial Intelligence
  • Control and Optimization
  • Instrumentation
  • Computer Vision and Pattern Recognition

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