Operability assessment of indoor dismantlement assistance machine

Yasuhiro Shimoi, Kazuo Fujishima, Ayato Iwasaki, Keisuke Kanemaru, Kunitsugu Tomita, Toshio Morita

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

5 Citations (Scopus)

Abstract

Hydraulic crushers are available in dismantlement circumstance for example office buildings. Because the crushers weigh 35 to 50kg, adopting new accessory functions were highly expected for saving work/worker and improvements on safety. In this study, an indoor dismantlement assistance machine, which could be stably controlled by a single worker, was developed and operability assessment was done. For operability assessment, two conditions: easy-to-move on (I).one direction, (II). every direction, are compared to evaluate the priority of work efficiency. First, notation system to combine the machine's Mobility Ellipsoid and the worker's Manipulating Force Ellipsoid into one ellipsoid (i.e. Workability Ellipsoid) was suggested. The Workability Ellipsoid describes the machine-head mobility distribution, and the major axis direction: its length varies with its viscosity resistance and the working posture. By adopting this feature, the crane arm's viscosity resistance and the working posture were decided.

Original languageEnglish
Title of host publication2006 Proceedings of the 23rd International Symposium on Robotics and Automation in Construction, ISARC 2006
Pages822-827
Number of pages6
Publication statusPublished - 2006 Dec 1
Event23rd International Symposium on Robotics and Automation in Construction, ISARC 2006 - Tokyo, Japan
Duration: 2006 Oct 32006 Oct 5

Publication series

Name2006 Proceedings of the 23rd International Symposium on Robotics and Automation in Construction, ISARC 2006

Other

Other23rd International Symposium on Robotics and Automation in Construction, ISARC 2006
Country/TerritoryJapan
CityTokyo
Period06/10/306/10/5

Keywords

  • And operability
  • Balancer
  • Jib-crane
  • Manipulability ellipsoid

ASJC Scopus subject areas

  • Artificial Intelligence
  • Human-Computer Interaction
  • Building and Construction

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