Siemens is showcasing its latest advancements in industrial automation and digitalization for the intralogistics sector at this year’s Logimat. In response to global issues such as workforce shortages, rising sustainability demands, and demographic shifts, the technology firm is launching groundbreaking automation and digitalization solutions aimed at enhancing efficiency, flexibility, and sustainability in intralogistics.
Through Simatic Robot Pick AI Pro, an AI for industrial vision designed for AI-assisted picking robots, Siemens illustrates in a highlight presentation how merging software-defined and data-driven automation enhances adaptability and flexibility in automation solutions. This approach addresses the challenges and intricacies of contemporary intralogistics while providing solutions that are future-ready.
The highlight of the exhibit at the Siemens booth is Simatic Robot Pick AI Pro, a pre-trained deep-learning vision software developed by Siemens that allows for model-free 3D robot picking of unfamiliar objects using customizable vacuum multi-grippers. The software consistently provides engaging poses (6-DoF) for a diverse range of inventory items in milliseconds, irrespective of their shape, size, or packaging. This indicates that Simatic Robot Pick AI Pro will aid in creating affordable, independent, and scalable robotic solutions for single-piece order picking in industries such as e-commerce. It also tackles the workforce deficit linked to repetitive picking activities.
Simatic Robot Pick AI Pro is a solution of Siemens Industrial Operations X portfolios, which is part of Siemens Xcelerator. Siemens Industrial Operations X combines software-defined automation and data-driven solutions within industrial eco-systems aiming to systems more adaptive. An essential component of software-defined automation is Simatic AX, a modern development environment that increases efficiency in the creation and management of both physical and virtual controls. Virtual PLCs (programmable logic controllers) are also being used to provide greater flexibility and scalability in deploying control systems as software containers based on industrial edge management. Industrial Operations X integrates these technologies and enables a seamless collaboration between different systems and the use of advanced technologies like edge and cloud computing to optimize and continuously improve operational processes. With this, machine builders can develop flexible and scalable robot order-picking systems that can be adapted to meet specific requirements.
Robots with Siemens AI vision software can autonomously identify and handle a variety of unknown objects, ensuring increased flexibility and adaptability in dynamic environments. There is also a seamless integration with TIA, which ensures a continuous data flow from the robot order-picking cell to the entire operational process. Siemens Xcelerator offers an open ecosystem for collaboration and innovation within a network of certified partners, such as Zivid for industrial 3D cameras or Piab for vacuum tools, to support the development of new solutions and technologies.
At the exhibition, Siemens will demonstrate how the Siemens Industrial Copilot aids automation engineers in code creation and troubleshooting, simplifying the design of intricate automation systems. Siemens introduces the first generative AI assistant for industrial engineering with the Siemens Industrial Copilot for TIA Portal Engineering. Due to its smooth integration within the TIA Portal, the AI assistant enhances and speeds up development processes while greatly reducing potential sources of errors. It also enables less seasoned professionals to effectively utilize their knowledge and skills.