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Original Articles

A strategy for sensors and rules in flexible robotic assembly

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Pages 277-291 | Published online: 27 Apr 2007

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Naoum Tsolakis, Dimitris Zissis, Spiros Papaefthimiou & Nikolaos Korfiatis. (2022) Towards AI driven environmental sustainability: an application of automated logistics in container port terminals. International Journal of Production Research 60:14, pages 4508-4528.
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S. Okumura , N. Take & N. Okino. (2005) Error prevention in robotic assembly tasks by a machine vision and statistical pattern recognition method. International Journal of Production Research 43:7, pages 1397-1410.
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R. K. GUJAR & J. L. SANDERS. (1994) Analytical models to study the impact of error detection and recovery on the performance of a robotic assembly cell. International Journal of Production Research 32:4, pages 769-785.
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R. F. O'CONNOR, C. BABER, M. MUSRI & H. EKEROL. (1993) Identification, classification and management of errors in automated component assembly tasks. International Journal of Production Research 31:8, pages 1853-1863.
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Articles from other publishers (4)

Pengzhong Li, Weimin Zhang & Can Chen. (2012) Prediction of Operating Loads Contribution to Assembly Relation and Product Behavior. Journal of Software 7:2.
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Pengzhong Li & Weimin Zhang. (2009) Performance Loss Model Based Forecasting Method of Robot Assembly Quality. Performance Loss Model Based Forecasting Method of Robot Assembly Quality.
H. Najjari & S.J. Steiner. (1997) Integrated sensor-based control system for a flexible assembly cell. Mechatronics 7:3, pages 231-262.
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H. C. Shen, W. P. Yan & G. E. Taylor. (1993) Intelligent sensory decision-making for error identification in autonomous robotic systems. The International Journal of Advanced Manufacturing Technology 8:6, pages 377-384.
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