Projektlogo Dynamische Steuerung der kollaborativen Montage im digitalen Zwilling mittels AR und KI-basierter Situationserkennung


Dynamic control of collaborative assembly in the digital twin using AR and AI-based situation recognition

Duration 01.06.2024 - 31.05.2026, Funded by BMWK
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The goal of the SMART cooperation project is to develop an overall system for the dynamic control and task allocation of collaborative assembly processes. For this purpose, the implementation of an AI-based situation recognition using AR devices, which, together with a software platform for dynamic work planning, forms the basis for intelligent and collaborative process and robot control. An AR visualization is being developed for the direct involvement of employees, which shows the process planning and the planned robot actions in real time and thus enables close human-robot collaboration. A digital twin is used to integrate, simulate and control all subsystems.

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

Projektlogo Augmented Reality System für die realistische „vor Ort“-Visualisierung von Gewerbeimmobilienprojekten mittels Spezial-Tablets und WebAR-Technologie


Augmented reality system for realistic ‘on-site’ visualisation of industrial property projects using special tablets and WebAR technology

Duration 01.04.2024 - 31.12.2025, Funded by BMWK
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The ImmoAR project aims to create an innovative AR framework with specially developed hardware to simplify the communication of industrial property. The central component is the development of a special tablet with a high-precision AR display. In addition, an AR application is being developed in Python to display visualisations and planning statuses. Another focus is on optimising a web display and implementing an efficient interface to the AR application in order to support complex 3D models. The application is designed for the communicative mediation of commercial property in order to ideally adapt the AR software and improve the GeoAR functionalities.

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Digitalisation, Construction industry, Assistance systems, AR / VR / Speech

Projektlogo Kreislaufwirtschaft: Entwicklung einer innovativen Methode zur Herstellung, Nutzung und Recycling von biologisch abbaubaren Verpackungen aus Myzel-Verbundwerkstoffen


Integrated material, process and product development methodology for product life-cycle optimized mycelium-based packaging products as part of circular economy

Duration 01.02.2024 - 31.01.2028, Funded by Volkswagen Stiftung
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Sustainable and closed material cycles made from biogenic and recycled resources are becoming increasingly relevant as raw materials become limited. The goal of the project is to develop an integrated methodology for the material, process, and product development of mycelium composite materials using the example of cooler boxes. Mycelia has the potential to transform biomass with its thread-like hyphae into compact structures in just a few days. The project addresses current challenges in the product life cycle in order to design optimized material cycles using mycelium technology. The research framework includes the use of AI-based methods for identifying material combinations and for quality assurance.

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Product and process development, Sustainability, Energy and environment, Manufacturing industry, Machine learning / artificial intelligence, Life cycle assessment

Projektlogo Entwicklung autonomer Fahrprozesse und dynamischer Lager-  und Logistikkonzepte auf Automobilterminals
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Development of autonomous driving processes and dynamic storage and logistics concepts on automotive terminals

Duration 01.01.2024 - 31.12.2026, Funded by BMDV
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The logistics services provided by seaports and inland ports are crucial for German imports and exports and for the global distribution chains of the German automotive industry. Vehicle compounds serve as hubs that are an integral part of the German automotive industry's finished vehicle logistics. Despite this central role, vehicle compound operators face challenges such as increasing handling volumes, limited terminal space, staff shortages and growing demands for efficiency and flexibility.

The AutoLog research project aims to explore and realise optimisation potential through the use of automated driving at vehicle compounds. The project aims to increase the efficiency and flexibility of terminal operations through technological developments for the digitalisation of processes and the automation of driving movements.

The main objectives of the project are

Suitability of automated driving at vehicle compounds: Investigation of the process and infrastructure requirements at the vehicle compound for the successful implementation of automated driving.

Technical infrastructure and sensors: Developing the design of the technical infrastructure and sensor technology to ensure robust and safe vehicle control.

Human-machine interactions: Investigating how human-machine interactions can be designed to enable intuitive and safe interaction between automated and non-automated processes.

Optimisation potential for storage and logistics processes: Identification of optimisation potential for related storage and logistics processes through the introduction of automated driving.

By specifically researching and implementing these objectives, the AutoLog project aims to overcome the challenges of vehicle compounds and sustainably improve the future of finished vehicle logistics.

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Human-technology interaction , Process optimisation and control, Maritime economy, Automotive, Process modelling and simulation, Wireless communication technologies (5G etc) and sensors

Projektlogo Komplementäre Nutzung mathematischer und ereignisdiskreter Modelle zur Lösung komplexer Planungs- und Steuerungsprobleme in der Offshore-Baustellenlogistik

OffshorePlan II

Complementary application of mathematical and discrete-event models to solve complex planning and control problems in offshore construction logistics

Duration 01.01.2024 - 31.12.2025, Funded by DFG
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Offshore construction logistics for wind farms define a complex planning and control problem for which there are no established methods. Discrete-event simulation methods or mathematical optimizations are used, which offer their advantages and disadvantages in terms of runtime, level of detail, and optimality constraints.

After the first project phase has laid the foundations in different models and a transformation framework, the second phase focuses on complementary use. In addition to increasing the problem complexity, a cascading framework will be developed that selects suitable model variants and combines them concerning necessary levels of abstraction.

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Process optimisation and control, Maritime economy, Wind energy, Process modelling and simulation

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