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Fields of Application

Trade & Logistics

AI offers practical solutions for the optimization of business and logistics processes. Based on data, goods flows and transport routes can be adapted and decision-making supported. In addition, our scientists develop intelligent, personalized purchasing consultants and test them for their suitability for everyday use and their customer benefits. Furthermore, the DFKI researches autonomous mobile manipulation systems for intralogistics and manufacturing scenarios as well as innovative robot solutions for transport and inspection purposes.

News

Projects

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  1. APPaM - Automated Process Planning and Mining

    In Unternehmen wird die korrekte Ausführung von Geschäftsprozessen schon heute mithilfe von Process Mining Tools untersucht. Diese erarbeiten auf Grundlage von Ausführungslogs der IT-Systeme…

  2. CLIMACTIC - Dynamic planning in Individual Manufacturing along the supply Chain (Preparation Phase)

    Phase 1 of 2 (Preparation Phase):

    The fulfilment of individual customer requirements is becoming an increasingly decisive factor when considering the competitiveness of companies. The make-to-order or…

  3. SPAICER - Scalable adaptive production systems through AI-based resilience optimization

    The innovation competition "Artificial Intelligence as a Driver for Economically Relevant Ecosystems" (AI Innovation Competition) of the Federal Ministry of Economic Affairs and Energy (BMWi) is a…

  4. APRIL - Multipurpose robotics for mAniPulation of defoRmable materIaLs in manufacturing processes

    The APRIL project aims at prototyping low cost and agile market-oriented multipurpose, and easy to repurpose, autonomous dexterous robots; which will manipulate, assemble or process different soft and…

  5. K4R - Knowledge4Retail

    The overall goal of Knowledge4Retail is the development of an open-source platform (K4R platform) for complex AI- and robotics applications in retail. At its core, the platform provides so-called…

  6. Fast&Slow - Combination of Symbolic and Subsymbolic Methods

    Deep learning methods are used in many application areas and work very efficiently after a training phase. However, in general no reliable

    statement can be made about their correctness. In contrast,…

  7. VerSys - A Sound Verification Platform for Early Software Development for RISC-V based Systems

    The aim of the VerSys project is to develop a consistent platform for early software development based on RISC-V technology, an instruction set architecture for microprocessors which has been…

  8. KI-Absicherung - KI-Absicherung

    Im Rahmen des Projektes „KI Absicherung“ werden erstmalig industrieübergreifend Methoden und Maßnahmen für die Absicherung von KI-basierten Funktionen für das automatisierte Fahren entwickelt. Es wird…

  9. SUITE - Intelligent, adaptive assistance services based on smart meters and building automation data

    SUITE tests concepts of machine learning and multi-agent technology in Smart Home.

    On the basis of smart meter data, intelligent audio systems, selected smart home sensors and building automation…

  10. MOSAIK - Methodology for self-organized aggregation of interactive components

    The MOSAIK project is inspired by the principle of stigmergy, a form of communication in a decentralised system with a large number of individuals. The aim of this project is to develop a system…