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This paper presents a multidisciplinary design optimization framework for modular industrial robots, emphasizing the integration of high-fidelity models for dynamic simulation and structural strength analysis with automated geometry generation. The framework aims to enhance design efficiency by reducing computational costs and enabling the exploration of novel concepts through metamodeling and multi-level optimization strategies. The study focuses on the challenges of designing modular robots and proposes a

Author

KHẢI NGUYỄN NGỌC

Language

EN