Abstract
The increasing integration of robotics in industrial operations necessitates advanced control systems to optimize performance, precision, and safety. Modern control techniques such as model predictive control (MPC), adaptive control, and intelligent systems like fuzzy logic and neural networks are enabling unprecedented levels of automation and responsiveness. This paper explores the architecture, functionality, and recent advances in robotic control systems across various industrial sectors. It emphasizes the synergy between hardware and software advancements and illustrates how these innovations contribute to flexible manufacturing, quality assurance, and workforce safety. The paper concludes with current challenges and future prospects for robust and scalable robotic control frameworks.
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