AI significantly improves robotic grasping by enabling robots to learn and adapt, moving beyond rigid pre-programmed movements. Through advanced computer vision algorithms, AI allows robots to accurately identify objects, estimate their pose, and understand their material properties, even for novel items. Furthermore, deep reinforcement learning lets robots practice grasping in simulations or real-world scenarios, iteratively optimizing their grip strategies through trial and error. This results in significantly higher success rates, greater robustness in cluttered environments, and the ability to grasp unseen or irregularly shaped objects without human intervention. Consequently, AI-powered grasping makes robots far more versatile and efficient for tasks ranging from manufacturing to logistics. More details: https://skvagena.com.ua