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Oleksandr Stepanenko

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Open access Aug 2026

Data-Driven Modeling of Industrial Robot Repeatability Using Ensemble Artificial Neural Networks Under Varying Operational Conditions

A data-driven framework for predicting repeatability of FANUC LR Mate 200iD and KUKA KR 6 R700 Sixx robots under varying operational conditions provides a practical tool for predicting repeatability, supporting process planning, uncertainty budgeting, and precision manufacturing optimization.

B. Louhichi, Mohamed Slamani, I. Bonev et al. · 0 citations

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