Browsing Faculty of Engineering & Applied Science by Subject "Genetic Algorithm"
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Development of an automated industrial painting system with optimized quality and energy consumption
(2023-10-01)Paint application is vital for product durability and aesthetics, whether done manually or by precise robotic systems. Manual work is error-prone and risky, while robots offer accuracy. However, programming robot trajectories ...