On-line motion-feedforward pose recognition invariant For dynamic hand-eye motion

Wei Song, Mamoru Minami

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

This paper presents a pose measurement method of a 3D object detected by hand-eye cameras. We propose a motion-feedforward (MFF) method to improve visual recognition dynamics, which become worse by disturbing hand-eye motion during visual servoing of the robot manipulator. The MFF method is used to compensate the fictional target motions in the camera view Induced by the end-effctor's motion, so the pose recognition can be assumed invariant for dynamic hand-eye motion. The effectiveness of the proposed method is confirmed by simulations of object's 3D pose recognition being affected by dynamical oscillations of hand-eye cameras.

Original languageEnglish
Title of host publicationProceedings of the 2008 IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM 2008
Pages1047-1052
Number of pages6
DOIs
Publication statusPublished - Sep 30 2008
Externally publishedYes
Event2008 IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM 2008 - Xi'an, China
Duration: Aug 2 2008Aug 5 2008

Publication series

NameIEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM

Other

Other2008 IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM 2008
CountryChina
CityXi'an
Period8/2/088/5/08

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Software
  • Computer Science Applications
  • Electrical and Electronic Engineering

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  • Cite this

    Song, W., & Minami, M. (2008). On-line motion-feedforward pose recognition invariant For dynamic hand-eye motion. In Proceedings of the 2008 IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM 2008 (pp. 1047-1052). [4601806] (IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM). https://doi.org/10.1109/AIM.2008.4601806