{"id":2675,"date":"2025-04-23T07:01:11","date_gmt":"2025-04-23T07:01:11","guid":{"rendered":"https:\/\/usedrobotstrade.com\/blog\/?p=2675"},"modified":"2026-04-24T04:12:39","modified_gmt":"2026-04-24T04:12:39","slug":"automation-in-action-how-ai-is-redefining-robotic-picking-in-the-industry","status":"publish","type":"post","link":"https:\/\/usedrobotstrade.com\/blog\/automation-in-action-how-ai-is-redefining-robotic-picking-in-the-industry\/","title":{"rendered":"AUTOMATION IN ACTION: HOW AI IS REDEFINING ROBOTIC PICKING IN THE INDUSTRY"},"content":{"rendered":"

Industrial robotic automation<\/a> has experienced impressive evolution in recent years, especially in the area of robotic picking. This process, which involves the selection and manipulation of objects in production and distribution environments, has been one of the most transformative applications for robots in factories and warehouses. In this context, artificial intelligence (AI) has played a crucial role, driving robots to perform tasks that humans could previously do, but with superior precision, speed, and efficiency .<\/p>\n

Recent advances in AI have allowed robots to overcome some of the limitations they faced in terms of adaptability and object recognition. The capabilities of computer vision systems and machine learning have significantly improved, enabling robots to identify, classify, and manipulate objects with much greater flexibility. This is precisely one of the areas where experts in robotics and automation are focusing, as discussed in a recent webinar that brought together industry leaders to talk about the latest innovations in the field .<\/p>\n

The Impact of AI on Robotic Picking<\/strong><\/p>\n

One of the main advantages of AI in robotic picking is its ability to improve the accuracy of object identification. Vision systems equipped with AI can “see” and understand a three-dimensional environment, allowing robots to select products of various sizes, shapes, and positions, all with millimetric accuracy. This translates into greater efficiency in production lines, reducing errors and downtime .<\/p>\n

Additionally, AI allows robots to learn from their experiences, adapting to new tasks without constant human intervention. This machine learning is especially valuable in dynamic environments, such as distribution centers, where product variability and operating conditions can change rapidly .<\/p>\n

Success Stories: Leading Robots in Robotic Picking<\/strong><\/p>\n

Several robotics companies have led the implementation of AI-powered robotic picking systems, showing impressive results in different industries .<\/p>\n

Yaskawa \u2013 Motoman NEXT<\/strong>: Yaskawa<\/a> has developed the Motoman NEXT robotic system, which integrates advanced AI capabilities for picking and sorting applications. This robot uses an AI-based vision system that allows it to identify and classify objects in real-time, adapting to changing environmental conditions. It has been successfully implemented in distribution centers of large retail chains, where it has demonstrated a 30% reduction in picking errors and a 40% increase in process speed .<\/p>\n

KUKA \u2013 Swisslog ItemPiQ<\/strong>: KUKA<\/a>, in collaboration with Swisslog, has developed the ItemPiQ system, a picking robot that uses AI and cameras to identify and manipulate products of different sizes and shapes. This system can automatically change its gripper to adapt to different types of packaging, improving efficiency in the picking process .<\/p>\n

ABB \u2013 YuMi<\/strong>: ABB<\/a> has integrated AI into its collaborative robot YuMi, the world’s first truly collaborative dual-arm robot. This robot is designed to work safely alongside humans, performing assembly tasks with high precision and flexibility .<\/p>\n

FANUC \u2013 High Load Robot<\/strong>: FANUC<\/a> has developed a high-load industrial robot capable of lifting up to 500 kg, designed to overcome challenges in demanding industrial environments. This robot offers exceptional precision and repeatability, being crucial in applications such as heavy material handling, automotive assembly, and precision welding operations .<\/p>\n

Conclusion<\/strong><\/p>\n

Advances in artificial intelligence are revolutionizing the industrial robotics sector, especially in the field of picking. Robots like those from KUKA<\/a>, FANUC<\/a>, ABB<\/a>, and Yaskawa<\/a> are demonstrating that intelligent automation not only improves efficiency and reduces costs but also allows for greater flexibility and safety in operations. As AI technology continues to evolve, we can expect even more innovations that will transform the way companies handle picking and other industrial tasks. Automation is here to stay, and artificial intelligence is the engine driving this transformation.<\/p>\n

For more information on how\u00a0URT<\/a>\u00a0can help your company implement robotic solutions, visit\u00a0URT<\/a>\u00a0here and discover how we can transform your manufacturing process.<\/p>\n","protected":false},"excerpt":{"rendered":"

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