In recent years, the procurement of robots in the manufacturing industry has undergone a significant transformation. These new robots, equipped with artificial intelligence and advanced sensor technology, not only increase efficiency, but also change the way factories operate. It is hoped that the use of robots will boost productivity by minimizing human error and reducing downtime. One of the main factors in the adoption of new robots is the decreasing cost of technology. Previously, industrial robots were considered expensive and only affordable for large companies. However, with advances in technology, robots are now accessible to small and medium businesses. For example, collaborative robots (cobots) are designed to work side by side with humans, enabling easy integration into production lines. The robot does not require complex security barriers, speeding up the implementation process. In addition to cost efficiencies, new robots also increase flexibility in factories. Many robots today can be programmed for a variety of tasks, from assembly to packaging. With adaptable automation capabilities, companies can easily change products or production lines without needing to invest in new equipment. On the other hand, the use of robots also has an impact on product quality. Robots can work with high precision, reducing product defects and ensuring consistency in every stage of production. In the automotive industry, for example, the accuracy of robots in welding and painting has resulted in dramatic improvements in the quality of vehicles produced. The existence of robots also provides new opportunities in terms of labor. Although concerns about replacing human jobs often arise, the manufacturing industry is starting to see an increase in demand for higher skills. This encourages companies to invest in human resource training and development, focusing on technical skills and robot operations. The use of Internet of Things (IoT) technology in new robots has brought a further revolution. With connectivity capabilities, robots can share data in real-time, making performance monitoring and analysis easier. The use of big data and analytics allows companies to understand production patterns and make better decisions in supply chain management. One interesting example of this innovation is the integration of automated robots in food and beverage production lines, where hygiene and compliance with safety standards are crucial. Robots with self-cleaning systems and object recognition can ensure processes run efficiently and according to regulations. In the Southeast Asia region, new robotic innovations are already driving growth. Countries such as Singapore and Malaysia are increasingly paying attention to automation to increase global competitiveness. Investment in robotic technology is seen as a strategic step to catch up with developed countries. As we look further into the future, the trend of using robots in the manufacturing industry is predicted to continue to increase. With the discovery of new technologies and increasing robotic capabilities, companies will be increasingly able to adapt to changing market needs. The success of this transformation requires collaboration between technology, industrial policy and education, ensuring that all parties can adapt and thrive in this new ecosystem.
