At the Industry 4.0 Platform booth in Hall 13, Booth C24, RoX will demonstrate how AI-based robotic solutions can be developed more quickly, operated more easily, and specifically improved during ongoing operations. The focus is on a federated ecosystem in which data, services, and components can be digitally described, exchanged, and combined to offer end users more affordable and flexible solutions.

The foundation for this is a trustworthy, secure infrastructure. It transparently determines which partner has access to what information and when. This makes data available that was previously difficult to share. The spectrum ranges from system information (such as robots, end-effectors, and sensors) to workpiece data and live data from the manufacturing process. Software components are also integrated—from simple drivers to AI capabilities and complete solutions. On this basis, AI-supported robotics applications can be easily developed, expanded, and intelligently operated.

Our live demos show how this works in practice.

Asset Explorer:

From search to application: A development environment integrated into the ecosystem demonstrates how easily you can find hardware (robots, sensors, end-effectors) and software (solutions, skills, and services) and use them directly to develop solutions. The result: significant time savings in the creation, validation, and optimization of your AI-based robotics solutions.

The selected components and the development workflow described above form the basis for the subsequent demonstrators, each of which illustrates in its own way the benefits of improved digital collaboration in solution development, commissioning, and operation.

Teaching:

The robot cell explains how to integrate a path planning service. This allows end users to have pre-programmed robot paths optimized and then reimport them into their application, making robots accessible even to non-experts.

Pick & Pack

The cell demonstrates how AI function blocks for gripping and organized packing can be easily integrated using an application template, and how process data is fed back to the asset supplier to centrally improve the underlying models during operation.

Quality:

Through this robotic cell, trade show visitors will see how end users can freely decide whether and which application-specific data they wish to share—for example, for data pooling with a partner—in order to improve AI models or enable new developments.

 

Why is it worth a visit?

Component manufacturers can see how they can make their products available to multiple customers via a common interface and gain insight into how they are being used. Integrators work with a single interface to all suppliers, which reduces research, integration, and development efforts and shortens iteration cycles. End customers, in turn, benefit from the automation of previously uneconomical processes, lower system costs, and continuous improvements to their systems through updates, component replacement, and data pooling on their own terms. In short: At Hall 13, Booth C24, visitors will see how a shared data space, components, and AI services and skills come together to form robust, easily maintainable, and scalable automation solutions for all stakeholders.

 

In addition to the demonstrations, we will also be presenting the following talks: 

Toward a Digital Ecosystem for Intelligent Robots 

Dr. Jin Woo Ro, German Aerospace Center (DLR) 

• Date: Friday, April 24, 2026, 12:30–12:50 
• Location: Hall 26, Booth E43 – Expert Stage 2 (Solution Lab Automation & Digitalization) 

 

Digital Ecosystems for AI-Based Robotics 

Prof. Dr. Frank Köster, German Aerospace Center (DLR) 

• Date: Wednesday, April 22, 2026, 11:15–11:30 a.m. 
• Location: Hall26, Booth E43 – Expert Stage 1 (Solution Lab Automation & Digitalization) 

 

3D perception as a key capability for AI-based robotics 

Michael Suppa, Ph.D. (Eng.), Roboception GmbH 

Dieter Westerkamp, VDI e.V. 

• Date: Thursday, April 23, 2026, 2:45–3:05 p.m. 
• Location: Hall26, Booth E43 – Expert Stage 1 (Solution Lab Automation & Digitalization) 

 

Physical AI needs data ecosystems to scale: The RoX use case and initial lessons learned 

Moderator: Prof. Dr. Chris Schlueter-Langdon, Data Analytics Executive and Scientist, T-Systems International GmbH 

• Date:Tuesday, April 21, 2026, 10:00–10:45 a.m. 
• Location:Solution Lab Research & Technology Transfer, Hall 11, Booth B69, Round Table Room  

 

Flexible robotics solutions from development to customization  

Johannes Kässinger, Research and Business Development Manager, SOTEC GmbH & Co. KG,  

Yannick Kemp, Technical Program Manager, Intrinsic Innovation GmbH 

• Date:Friday, April 24, 2026, 10:40–10:55 a.m. 
• Location/Stage: Hall26, Booth E43, Spotlight Stage