AI-Driven Robotics for Real-Time Processes in Manufacturing Sector for Organizational effectiveness

Manufacturing is a key industry that contributes to national and global economic prosperity. Discrete manufacturing is a physical process that produces unique goods. Digitizing the manufacturing process allows for individualized and flexible production. Machines may now undertake jobs that were previously only performed by humans thanks to artificial intelligence. AI has revolutionized robotics and automation by providing unparalleled intelligence, flexibility, and efficiency. AI-enhanced industrial robotics is evolving at a rapid pace. Edge computing enables robots to analyze data locally and respond quickly, reducing latency and improving overall system performance. Reinforcement learning allows robots to maximize their behaviors in changing production contexts, increasing flexibility and adaptability. Integrating digital twins allows producers to simulate and study robotic system behavior before implementing them physically. This paper examines the use of AI in robotics, including its uses, advancements, and consequences for areas including healthcare and manufacturing. Furthermore, it underlines the importance of ongoing research and development to guarantee responsible and ethical AI deployment while maximizing its advantages to meet the expanding demands of a global population.