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Projektlogo Entwicklung eines Augmented Reality-basierten Systems zur standardisierten Inbetriebnahme und intuitiven Konfiguration autonomer mobiler Roboter

AMR-Launch

Development of an augmented reality-based system for standardised commissioning and intuitive configuration of autonomous mobile robots

Duration 01.01.2026 - 31.12.2027, Funded by BMFTR
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The research project “AMR-Launch” is developing an integrated, intuitive, cross-vendor system for commissioning and configuring autonomous mobile robots (AMRs). The aim is to make it easier for small and medium-sized enterprises in particular to use AMRs flexibly and to reduce their dependence on specialised personnel or external integrators. The system is based on AR-supported user environments, standardised AMR interfaces and an AMR abstraction layer. Operational staff can configure AMRs directly in the AR environment; automatic calibration synchronises the real environment, AR model and robot map. The approaches are being validated in practical application scenarios.

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Keywords

Robotics and automation, Human-technology interaction, Transport and logistics, Manufacturing industry, Autonomous robot and transport systems, AR / VR / Speech

SharePort

Resilient Smartport: Enhancing Supply Chain Robustness through Dynamic Resource Sharing

Duration 01.01.2026 - 30.06.2027, Funded by BMFTR
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Ports are facing intense competitive pressure and must invest in automation and digitalization. Fluctuating utilization levels lead to resource shortages during peak periods and idle capacities during quieter phases. SharePort aims to increase the resilience of the port system through resource sharing. Port stakeholders can lend out temporarily unused resources at short notice to avoid bottlenecks and optimize capacity utilization. In addition to functional resilience, sharing promotes cooperation between companies, creates new synergies, and thus strengthens the structural and social resilience of the port community. The project will develop a prototypical digital platform for managing sharing transactions, as well as a simulation game for various sharing scenarios.

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Keywords

System development and planning, Maritime economy, Transport and logistics, Serious gaming and gamification, Digital platforms / IoT

AuslastMeister

Development of AI methods for predicting order probabilities and optimizing capacity utilization in collaborative bid planning

Duration 01.01.2026 - 30.06.2027, Funded by BMWE

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In the research project AUSLASTMEISTER, an AI-supported platform is being developed for SHK craft businesses that enables collaborative quotation planning and intelligent lead and deal allocation. The solution analyzes customer requests, identifies the required trades and qualifications, assesses available capacities, and supports matching with suitable partner companies. This allows capacity bottlenecks to be mitigated through cooperation, more requests to be handled, and quotations to be integrated more effectively into operational planning.

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Keywords

Product and process development, Value creation networks, Services industry, Construction industry, Business models, Digital platforms / IoT

Projektlogo Wissensbasiertes Testmanagement für Testfälle

WTEST

Knowledge-based test management for test cases

Duration 01.11.2025 - 31.10.2027, Funded by BMWE
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The goal of the project is to develop an interoperable and scalable framework for integrating test knowledge into everyday testing activities. This test knowledge will be embedded into the test processes of complex mechatronic systems through a copilot.

The background is that experience and engineering judgment play a crucial role in selecting and implementing test cases. Therefore, the framework will develop innovative, knowledge-based methods to support the creation of test scripts. This will enable OEMs and suppliers to semantically capture test cases and use the information in a task-specific manner.

Task-specific provision of information will be realized through the copilot, which will be integrated into Razorcat’s testing tools. The advantage of the developed copilot is that its suggestions are deterministic, reproducible, and traceable, thereby ensuring compliance with the guidelines for testing safety-critical systems.

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Keywords

Product and process development, Aviation, Assistance systems, Semantic modelling and ontologies

Projektlogo Kompetenzvermittlung, Lernförderlichkeit und Arbeitskulturen für reaktionsfähige dynamische Wertschöpfungsstrukturen

KLAWEST

Skills transfer, learning support and working cultures for responsive, dynamic value creation structures

Duration 01.11.2025 - 31.10.2026, Funded by BMBF
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Germany has some catching up to do when it comes to continuing education. Recent studies show that only a small proportion of the 25- to 64-year-olds in Germany participate in formal education programmes – significantly less than the EU average. Concepts such as learning-friendly work environments and learning ecosystems offer the potential to overcome this continuing education crisis. However, they must be combined with value creation dynamics, such as technological development and work culture, to ensure optimal skills transfer. Against this backdrop, KLAWEST is looking for research needs for skills development in a business context at manufacturing and logistics companies.

The aim of the preliminary scientific study is to develop four different consistent descriptions of the future in the areas of skills transfer, new approaches to learning support and changing work cultures. The foresight process is based on a tailor-made method. This is based on scenario management, a process for the structured development and interpretation of possible future scenarios, and is carried out by a team of experts. The results of this process are validated and expanded using a Delphi method, a multi-stage sequence of consecutive expert surveys.

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Keywords

Digitalisation, Value creation networks, Research and development, Training & qualification

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