
Automation That Sets New Standards: idealworks’ Robotics Ecosystem at LogiMAT 2025
January 7, 2025
For the fourth consecutive year, idealworks will showcase the future of industrial automation at LogiMAT 2025. With its pioneering robotics ecosystem, the Munich-based deep-tech company demonstrates how innovative technologies can sustainably enhance productivity and efficiency across the entire value chain.
At the heart of the presentation are three industry-specific ‘Application Areas‘, offering practical insights into the potential for Automotive, Manufacturing, and Logistics & Warehousing. idealworks’ holistic approach – from visualization and analysis to simulation, digital twins, and full automation – lays the foundation for tailored solutions that seamlessly integrate into existing processes.
As a BMW Group spinoff, idealworks combines deep expertise in automation software and mobile robotics with a clear vision: developing technologies that meet the challenges of increasingly complex and specialized intralogistics. This robotics ecosystem will be showcased in hall 8 at booth D37 during LogiMAT 2025.
Visitors will have the opportunity to gain comprehensive insights on-site and can schedule a meeting with the idealworks expert team in advance at hello@idealworks.com to learn more about customized automation solutions.
Sarah Kuehn
Corporate Communications
Sarah.Kuehn@idealworks.com
About idealworks
As a forward-thinking deep tech company, idealworks has been enabling the future of logistics and industrial automation since November 2020. Its flexible, scalable robotics ecosystem, featuring the intelligent automation platform AnyFleet for seamless mobile robot integration, the CE-certified autonomous mobile robot (AMR) iw.hub, the simulation technology iw.sim, and the advanced robotics operating system iw.os, is reshaping intralogistics processes for companies globally. Emerging from its roots as a BMW Group spinoff, idealworks is committed to driving efficiency and operational optimization in a rapidly evolving automation landscape.