Visualization of comprehensive work tendency using end-point frequency map for human-operated work machines

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1 Citation (Scopus)

Abstract

This paper proposes a framework for visualizing comprehensive work tendency using a frequency plot map of the end-point of a manipulator as a fundamental study of work analysis using long-term data for human-operated work machines. A visualization system requires high generality and commonality to enable to extract various characteristics to be extracted on an arbitrary time scale independently of the work machine specifications, work contents and environment, and machine operator. The proposed framework meets this requirement by first creating a two-dimensional end-point plot map with its origin fixed at the yaw joint of the manipulator to deal with arbitrary usage conditions. It then extracts arbitrary characteristics by using hierarchical feature extraction filters, including binary, quantity, and advanced filters, defined by three kinds of essential data: operation, movement, and load. Finally, it quantifies the filtered map by gridding and normalization to visually grasp its frequency distribution. Two experiments in which the work environments and completion time differed were conducted using an instrumented hydraulic arm. Results indicated that the comprehensive work tendency revealed by using the proposed framework corresponds to the actual work results independently of the various conditions.

Original languageEnglish
Title of host publication2013 IEEE International Conference on Robotics and Automation, ICRA 2013
Pages760-765
Number of pages6
DOIs
Publication statusPublished - 2013 Nov 14
Event2013 IEEE International Conference on Robotics and Automation, ICRA 2013 - Karlsruhe, Germany
Duration: 2013 May 62013 May 10

Publication series

NameProceedings - IEEE International Conference on Robotics and Automation
ISSN (Print)1050-4729

Conference

Conference2013 IEEE International Conference on Robotics and Automation, ICRA 2013
CountryGermany
CityKarlsruhe
Period13/5/613/5/10

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ASJC Scopus subject areas

  • Software
  • Control and Systems Engineering
  • Artificial Intelligence
  • Electrical and Electronic Engineering

Cite this

Kamezaki, M., Iwata, H., & Sugano, S. (2013). Visualization of comprehensive work tendency using end-point frequency map for human-operated work machines. In 2013 IEEE International Conference on Robotics and Automation, ICRA 2013 (pp. 760-765). [6630658] (Proceedings - IEEE International Conference on Robotics and Automation). https://doi.org/10.1109/ICRA.2013.6630658