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AI4Lean

Entwicklung eines KI-Agenten mit Funktionalitäten zur generativen CAD-Modellierung für die Unterstützung der Angebotserstellung modularer Regalsysteme zur Materialbereitstellung

Duration 01.08.2026 - 31.07.2028, Funded by BMWE

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Die effiziente Materialbereitstellung ist zentraler Bestandteil der Produktionsplanung. Durchlaufregale sind hier elementar aufgrund ihrer Anpassungsfähigkeit. Dies führt zu hoher Variantenvielfalt bei gleichzeitig geringer Stückzahl, was zu erheblichem Aufwand für die kundenindividuelle Angebotserstellung führt.Das Forschungsprojekt AI4Lean verfolgt die Entwicklung eines KI-basierten Agenten zur Unterstützung der Anforderungsaufnahme und einer automatisierten Entwurfsgenerierung von Durchlaufregalen. Auf Basis der Kundenanforderungen werden über eine trainierte, generative KI CAD-Zeichnungen abgeleitet und dem Kunden zusammen mit einer Kostenkalkulation präsentiert. Über einen Chat können die Kunden weitere Modifikationen und Anpassungen vornehmen.Die technische Umsetzung erfordert minimale, kompositionelle Repräsentationen der CAD-Zeichnungen sowie eine parametrisierte Modellierung der zugehörigen Kundenanforderungen. Ein KI-Chatbot unterstützt die Anforderungsaufnahme und die Konvertierung in die geeignete, parametrisierte Form. Aus dem Output der generativen KI wird eine CAD-Zeichnung rekonstruiert, welche die Kundenanforderungen berücksichtigt.

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Keywords

Process optimisation and control, Transport and logistics, Manufacturing industry, Machine learning / artificial intelligence

FLIP-R

Flexible solution for the individual adjustment of pin settings on freight wagons through the human-centred use of a remotely controlled robot

Duration 01.07.2026 - 30.06.2028, Funded by BMFTR

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Keywords

Robotics and automation, Process optimisation and control, Maritime economy, Transport and logistics, Autonomous robot and transport systems, Process modelling and simulation

Projektlogo uPQComing – Stärkung der Cyber-Resilienz für das kommende Post-Quanten-Zeitalter
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uPQComing

uPQComing - Enhancing Cyber-Resilience for the upcoming Post-Quantum era

Duration 01.07.2026 - 30.06.2029, Funded by EU - Chips JU

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Powerful quantum computers will break classical encryption schemes such as RSA and ECC. Attackers are already intercepting encrypted data today in order to decrypt it later (harvest now, decrypt later). In civil protection and disaster response, such a break would have immediate consequences: manipulated commands, spoofed GPS coordinates or exposed victim data put both responders and civilians at risk.

Within the EU collaborative project uPQComing, BIBA is developing quantum-safe communication solutions for mobile command and energy centers. The goal is an end-to-end chain of trust reaching from the sensor at the incident site through wearables and gateways to the control center — and doing so under the harsh conditions of a crisis: low bandwidth, unstable connections, battery-powered devices and a heterogeneous radio landscape spanning TETRA, 4G/5G and satellite links.

To this end, BIBA is deriving the security requirements and a semantic attack typology for the sector, specifying the reference architecture of the demonstrator (Use Case 7), and validating the PQC solutions in realistic tests for latency, resilience and interoperability.

As leader of the "Impact Escalation" work package, BIBA is additionally responsible for exploitation and business models, for feeding the results into standardization bodies such as ETSI and ISO, and for a European policy roadmap for the quantum transition.

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Keywords

Resilience, Energy and environment, Authorities and emergency services, Cyber security, Knowledge transfer

Projektlogo Helium-Drohnensystem zur audiobasierten Störungs- und Fehlererkennung von pneumatischen Maschinen und Werkzeugen

AIrDrone

Helium drone system for audio-based fault and error detection in pneumatic machines and tools

Duration 01.07.2026 - 30.06.2028, Funded by BMWE

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In industrial environments, undetected leaks and wear in compressed air and pneumatic systems lead to significant energy losses and high operational costs. Manual inspections are often time-consuming, hazardous, and fail to cover all areas. The "AIrDrone" project is developing an AI-assisted inspection system based on an ultra-quiet helium drone paired with a language-model-driven diagnostic system. BIBA is responsible for indoor localization, the development of acoustic measurement technology, and AI-supported data evaluation. The result is an autonomous solution for predictive maintenance of pneumatic systems.

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Keywords

Energy efficiency, Energy and environment, Manufacturing industry, Autonomous robot and transport systems, Machine learning / artificial intelligence

Projektlogo Innovative IT-Plattform für SHK-Instandhaltungsanwendungen mit KI-basierter Modbus-Registerinterpretation zum herstellerneutralen Fernauslesen von Anlageninformationen

KIMbA

Innovative IT platform for HVAC maintenance applications with AI-based Modbus register interpretation for manufacturer-independent remote access to equipment information

Duration 01.06.2026 - 31.05.2028, Funded by BMWE
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KIMbA develops a manufacturer-independent IT platform for the remote analysis and maintenance of heating, ventilation and air-conditioning (HVAC) systems. Operating data is acquired via Modbus and automatically interpreted using AI methods. Large Language Models extract register knowledge from technical documentation, while deep-learning models classify unknown registers based on time-series data. Building on this information, methods for anomaly and fault detection as well as wear prediction are developed.

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Keywords

Digitalisation, Sustainability, Energy and environment, Telecommunications and IT, Machine learning / artificial intelligence, Digital platforms / IoT

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