Analysis procedure of robot’s loading performance by using actual data
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The usage of robots in manufacturing systems is increase. For material handling, the robot loads and unloads a workpiece on and from the given position of a machine, respectively. A robot without a closed control system may fail in such a performance. In order to analyze the stochastic property of the robot’s loading performance, playback accuracy on a given position is measured under given experimental conditions and them a statistical procedure on the measured data is described. run test is used to determine whether the loading failure of any one cycle is random or not. Proposed method using real data of 400 consecutive cycles can be applied to build an analytical model on a manufacturing system using robots as material handling equiplment.
Key wordsLoading Performance Playback Accuracy Stochastic Property Bernoulli Process
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- Birk, J.R., 1976, A Comparison for Robots to Orient and Position Hand-Held Workpieces”, IEEE Trans. on Systems, Man and Cybernetics, Vol. SME-6, No.10.Google Scholar
- Brownlee, 19965. Statistical Theory and Methodology in Science and Engineering, John Wiley & Sons, Chap. 6Google Scholar
- FANUC. Robot Model 1, 1980. Operator’s Manual.Google Scholar
- Krisztinicz, P. and I. Eleck, 1976, “Positioning Problems of Pneumatic Industrial Robots”, Proc. of the 6th Int. Symp. On the Industrial Robots.Google Scholar
- Morgan, C., 1980, “The Rationalization of Robot Testing.” Proc. of the 10th Int. Symp. On Industrial Robot.Google Scholar
- National Bureau of Standards, 1981, “A Glossary of Terms for Robots”, NBSIR 81-2340, Prepared for U.S. Air Force Materials Lab. ICAM ProgramGoogle Scholar
- Rho, H.M., 1985, “Dynamic Repair Priority Policy in Transfer Lines with Limited Repair Capability,” Unpublished Ph.D. Dissertation, Pennsylvania State Univ.Google Scholar
- Warnecke, W.J., M. Weck, B. Brodbeck and G. Engel, 1980, “Assessment of Industrial Robots”, Annals of CIRP, Vol. 29, No. 1.Google Scholar