Taguchi-based Methodology for Determining/Optimizing Robot Process Capability

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Abstract
Taguchi-based methodology is implemented to determine and to optimize a robot's process capability (RPC). This low-cost solution optimizes a robot's operational conditions. The experiment determines the RPC (i.e., accuracy, repeatability, reproducibility and stability) and considers seven operational factors (i.e., load, speed, distance, orientation, direction, height, and starting point) with three levels each. The results from Taguchi experimental design and data analysis show that the various factors affect each RPC characteristic differently. Therefore, an optimized combination of operational factors for each RPC characteristic is determined separately. Based on the project results, recommendations are made to use Taguchi Methods. Test results and future research needs are also discussed

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