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GratKI
AI-supported deburring of components using a modular deburring machine and reinforcement learning
Duration
16.04.2026 - 15.04.2028,
Funded by BMWE / IGF
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In metal processing, deburring is often manual and error-prone. Conventional automation fails due to a lack of precision and flexibility for small series. In the "GratKI" project, an AI-supported 5-axis CNC deburring machine with intelligent process control is being developed. BIBA is responsible for the optical quality inspection and uses reinforcement learning to dynamically adjust process parameters. The result is an adaptive, fully automated solution that reduces scrap and guarantees maximum cost-effectiveness and precision for industrial deburring.
Contact persons
- M. Lütjen () (Project manager)
- W. Zeitler ()
Keywords
Robotics and automation, Process optimisation and control, Aviation, Manufacturing industry, Machine learning / artificial intelligence
fireKOMM
Integrierte Einsatzkommunikation für mobile Einheiten im Vegetationsbrandeinsatz
Duration 01.04.2026 - 30.09.2027, Funded by BMFTR
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fireKOMM verfolgt das Ziel, eine zuverlässige und leicht nutzbare Kommunikationslösung für mobile Einsatzkräfte im Vegetationsbrandeinsatz zu entwickeln und in realitätsnahen Übungen zu prüfen. Vegetationsbrände führen regelmäßig zu Kommunikationsproblemen, da Einsatzkräfte häufig in Gebieten arbeiten, in denen Netze unzuverlässig sind oder nur einzelne Systeme funktionieren. Die beteiligten Organisationen nutzen zudem unterschiedliche Geräte und Anwendungen, was die Zusammenarbeit erschwert.
Das BIBA verfolgt dabei das Ziel, ein vermaschtes Kommunikationssystem zu entwickeln und prototypisch umzusetzen, das mobile Einheiten in Vegetationsbränden zuverlässig verbindet. Im Mittelpunkt steht die experimentelle Untersuchung, wie unterschiedliche Übertragungswege parallel genutzt und flexibel miteinander kombiniert werden können, damit ein stabiles Gesamtnetz entsteht.
Contact person
- M. Stietencron () (Project manager)
Keywords
Interoperability, Resilience, Telecommunications and IT, Authorities and emergency services, Digital platforms / IoT, Wireless communication technologies (5G etc) and sensors
FacilityWatch
Entwicklung eines autonomen Drohnensystems zur kontinuierlichen Inspektion von Gebäudefassaden
Duration
01.04.2026 - 31.03.2028,
Funded by BMWE
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The FacilityWatch project is developing a fully autonomous drone system for the efficient inspection of building facades. By using a docking solution, the system remains on-site and can independently detect damage, dirt, and thermal bridges using artificial intelligence (AI). The system reduces inspection costs, conserves resources through optimized maintenance, and improves workplace safety by eliminating high-risk operations at great heights. BIBA is responsible for the sensor technology, laser-based obstacle detection, and dynamic flight route planning. In collaboration with IS Predict, the project is also implementing data protection-compliant image analysis and precise localization for complex urban areas without GPS reception.
Contact persons
- M. Lütjen () (Project manager)
- D. Boger ()
Keywords
Robotics and automation, Services industry, Construction industry, Autonomous robot and transport systems, Machine learning / artificial intelligence
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.
Contact persons
- B. Vur () (Project manager)
- L. Mittelsdorf ()
- L. Panter ()
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.
Contact persons
- G. Middelbeck () (Project manager)
- M. Teucke ()
Keywords
System development and planning, Maritime economy, Transport and logistics, Serious gaming and gamification, Digital platforms / IoT
Events:
June 11, 2026, Leer
Open Campus University of Bremen – BIBA Invites You to Guided Tours
June 13, 2026, Bremen
Digitalization at Lunch: AI in Maintenance – The Path from Data to Predictions
June 17, 2026, online
WertNetzWerke Summit 2026
June 25, 2026, Oldenburg
Day of Science: LogDynamics is Coming to the City Center of Bremen
June 27, 2026, Bremen
More events
