Innovation

Adaptive In-Orbit Servicing of Altered Satellite Components

Adaptive In-Orbit Servicing of Altered Satellite Components

Adaptive gripper placement on altered components for servicing in-orbit satellites
Justus Rein ORCID Icon, Christian Plesker ORCID Icon, Adrian Reuther ORCID Icon, Hanyu Liu ORCID Icon, Benjamin Schleich ORCID Icon
In-orbit servicing of satellites presents several challenges as the satellite hardware is exposed to external influences throughout its life cycle. These factors wear down the components and cause changes to their physical structure. In such cases, the limits of simple dis- and reassembly steps may be reached, as the gripping surfaces are no longer present or suitable. This paper proposes an approach of an adaptive grip position estimation in a CubeSat disassembly process. The relevant components are identified using CAD models and a 3D camera. The gripping positions are determined based on the geometry of the gripper and the point cloud of the component.
Industry 4.0 Science | Volume 41 | Edition 6 | Pages 10-21 | DOI 10.30844/I4SE.25.6.10
“Entrepreneurial courage is the key ingredient”

“Entrepreneurial courage is the key ingredient”

Interview with Prof. Jan Wörner, Director of the Frankfurt Institute for Advanced Studies (FIAS)
Production is leaving Earth. As access to space becomes increasingly affordable and reliable, the idea of manufacturing in space is evolving from science fiction to a real industrial strategy. In this interview, Jan Wörner, who has headed not only the German Aerospace Center (DLR) but also the European Space Agency (ESA) for many years, talks about strategic opportunities and regulatory challenges.
Customized Organs from Space

Customized Organs from Space

How weightlessness could change human lives
Due to its weightlessness, space offers enormous opportunities for production. The unique conditions of microgravity, for example, can simplify the development of organs and tissues from the body's own stem cells, allowing therapies to be developed in a more targeted manner. Even though many independent initiatives are currently emerging to explore this and other potential applications, their success is not a foregone conclusion.
Empathic Assembly Assistance

Empathic Assembly Assistance

Combining AI-based data analysis and empathic human digital twins
Joachim Lentes, Christian Saba-Gayoso, Matthias Lück ORCID Icon, Katharina Hölzle ORCID Icon
Industrial companies in Germany face demographic change and stagnating productivity in an increasingly complex world. Manual assembly remains essential for complex, low-volume products, yet productivity and quality lag due to human variability. This paper introduces a concept and demonstrator for an empathic assembly assistance system that merges a human digital twin and AI-based screwdriver data analytics within a modular architecture. Tightening anomalies are classified, linked to inferred worker states and translated into information and recommendations.
Industry 4.0 Science | Volume 41 | 2025 | Edition 5 | Pages 6-13 | DOI 10.30844/I4SE.25.5.6
AI Smart Workstation for Industrial Quality Control

AI Smart Workstation for Industrial Quality Control

Enhancing productivity through vision systems, real-time assistance, and Axiomatic Design
Leonardo Venturoso ORCID Icon, Simone Garbin ORCID Icon, Dieter Steiner, Dominik T. Matt
Traditional quality control often falls short in high-mix, low-volume production environments due to variability and complexity. This project introduces an advanced workstation to boost industrial productivity and quality, developed with Axiomatic Design to ensure a clear link between customer needs, functional requirements, and design solutions. Combining polarization cameras, high-resolution imaging, adaptive lighting, and deep learning-based computer vision, the system performs high-accuracy inspection on quantity, quality, and compliance. A digital assistance system offers real-time feedback via an intuitive interface. Validation in a controlled environment confirmed both the system’s practical benefits and its scalability.
Industry 4.0 Science | Volume 41 | 2025 | Edition 5 | Pages 128-134 | DOI 10.30844/I4SE.25.5.124
Digital Twins for Production and Logistics Systems

Digital Twins for Production and Logistics Systems

Challenges and focus areas in implementation and use
Deike Gliem ORCID Icon, Nicolas Wittine ORCID Icon, Sigrid Wenzel ORCID Icon
For a successful implementation as well as sustainable use and maintenance of digital twins for production and logistics systems, it is necessary to identify relevant use cases and master the associated challenges. This paper analyzes scientific literature on common applications and challenges in the implementation of digital twins for the planning and operation of production and logistics systems. To confirm the practical relevance of the results, the results of an empirical survey have also been included. The findings are used to derive key focus areas for the successful implementation and long-term use of digital twins in production and logistics.
Industry 4.0 Science | Volume 41 | 2025 | Edition 3 | Pages 42-49 | DOI 10.30844/I4SE.25.3.42
Enabling the Future of Manufacturing with Digital Twins

Enabling the Future of Manufacturing with Digital Twins

Opportunities and obstacles
Javad Ghofrani, Darian Lemke, Tassilo Söldner
Digital twins connect physical and digital systems, furthering efficiency, enabling predictive maintenance, and allowing the production of more customized products. Despite these advantages, challenges such as high costs, data synchronization, and security risks hinder widespread adoption. This article explores the potential of digital twins and examines key barriers to integration and implementation, also considering some industrial applications including additive manufacturing as a relevant use case.
Industry 4.0 Science | Volume 41 | Edition 3 | Pages 72-81
Virtual Exhibition as a Digital Twin

Virtual Exhibition as a Digital Twin

A framework for decision-making for virtual representations
Isger Glauninger ORCID Icon, Markus Schürmann, Matthias Mühl, Christian van Husen ORCID Icon
Transforming formats such as showrooms, laboratories or exhibitions into a virtual presence offers both opportunities and challenges. Particularly with cyber-physical systems (CPS), which rely heavily on user interaction, extensive adaptations must be made in order to maintain their purpose and function virtually. As part of this research project, digital solutions from different technologies and fields of application were transferred to a virtual exhibition. On this basis, the influence of the digital transformation on the interactivity and emulation of the solutions was analyzed. This article presents a framework that supports practitioners in the implementation of virtual representations.
Industry 4.0 Science | Volume 41 | Edition 3 | Pages 110-116
Hybrid Learning Landscapes for Technical Concepts

Hybrid Learning Landscapes for Technical Concepts

The digitalization of training via practical concepts and targeted networking
Sebastian Anselmann ORCID Icon, Jessica Wädt, Uwe Faßhauer ORCID Icon
The Länder- und Phasenübergreifende Interface (LPI) (engl. Cross-Regional and Cross-Phase Interface) promotes the sustainable digitalization of vocational and technical education through the systematic provision of expertise and innovative networking formats. The focus is on hybrid learning landscapes (HLL), which interlink physical and digital learning spaces to create individualized, practical learning environments. Innovative approaches such as learning factories, VR/AR and learning analytics are integrated.
Industry 4.0 Science | Volume 41 | Edition 3 | Pages 126-132
Intelligent Load Carrier Management

Intelligent Load Carrier Management

AI-supported monitoring and reduction of losses in logistics
Dominik Augenstein, Lea Basler
Load carriers are essential for transporting manufactured parts in manufacturing companies. Despite their ‘simplicity’, they are usually expensive to purchase as they are manufactured expressly to fit purpose. While tracking methods such as GPS tracking can be used to prevent the loss of load carriers, this is associated with monitoring costs and presents challenges with regard to data protection as soon as the work performance of intralogistics employees is monitored. Assigning load carriers to designated clusters and monitoring these clusters provides an effective solution—without drawing conclusions about employee performance. Furthermore, artificial intelligence can optimize this approach whilst also deterring the theft of load carriers.
Industry 4.0 Science | Volume 41 | 2025 | Edition 2 | Pages 78-84
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