Abstract
At the present time, industrial robots for assembly tasks only constitute a small portion of the annual robot sales. One of the main reasons is that it is difficult for conventional industrial robots to adapt to the complicity and flexibility of assembly manufacturing processes. Therefore, intelligent industrial robotic systems are attracting more and more attention. This chapter discusses robotic assembly techniques that perform assembly tasks with part geometric variations, part location variations and/or fixture errors. Different assembly tasks were implemented to demonstrate different techniques. For complex assembly processes, assembly parameters are very critical for assembly cycle time and First Time Through (FTT) rate. Hence the exploration of optimal parameters to minimize the cycle time and maximize the FTT rate has to be discussed. The Design-of-Experiment (DOE) method is adopted to identify the optimal parameters and experimental results demonstrate the effectiveness of the proposed DOE method. Since the proposed techniques were tested using real industrial assembly processes, they are ready for industrial implementation.
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Chen, H., Zhang, B., Zhang, G. (2015). Robotic Assembly. In: Nee, A. (eds) Handbook of Manufacturing Engineering and Technology. Springer, London. https://doi.org/10.1007/978-1-4471-4670-4_105
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DOI: https://doi.org/10.1007/978-1-4471-4670-4_105
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