Register
Register
Register

ExpertiseUpdated on 14 April 2025

Adaptive Robotics for (Dis-)Assembly

Ron Martin

Group Manager Adaptive Robotics at Fraunhofer IIS, Division Engineering of Adaptive Systems

Dresden, Germany

About

We offer expertise in adaptive robotics for flexible (dis-)assembly tasks, supporting partners in developing adaptive, sensor-integrated systems for dynamic production environments. From concept to prototype, we assist with AI-driven perception, control strategies, modular design, and system integration. Whether you're aiming to automate assembly, enable efficient disassembly for recycling, or explore robotics for the circular economy.

Field

  • Industry 4.0 technologies
  • Manufacturing and machine learning
  • Reverse Manufacturing
  • Robotic / handling - and assistance systems

Organisation

Similar opportunities

  • Expertise

    AI and Robotics-Driven Lifecycle Management for Industrial Automation

    • Data ecosystems
    • Reverse Manufacturing
    • Industry 4.0 technologies
    • AI-driven diagnostic systems
    • (AI based) recognition systems
    • Manufacturing and machine learning
    • Robotic / handling - and assistance systems
    • Life cycle assessment / Product life cycle management

    Vivek Chavan

    Research Associate at Fraunhofer IPK

    Berlin, Germany

  • Project cooperation

    Smart & Circular Photovoltaic-Thermal Systems

    • Early idea
    • Already defined
    • Consortium seeks Partners
    • Enabling technologies | (Advanced/smart) Sensors, e.g., enabling materials, components and product flows measurement
    • Enabling technologies | Manufacturing and machine learning, e.g., to increase the flexibility of industrial processes, modular approaches, reduce use of materials, quality assurance and certification of products)

    Bassant Mousa

    Project and ressearch coordinator at MG sustainable

    uppsala, Sweden

  • Project cooperation

    Driving Circular Value Creation in the White Goods Industry via Lifecycle Management and AI-driven 9Rs

    • Early idea
    • Already defined
    • Consortium seeks Partners
    • Data technologies | Assistance and Expert systems
    • Data technologies | Design of an adaptable Digital Product Pass:
    • Enabling technologies | Robotic / handling - and assistance systems
    • Data technologies | Algorithm that shows the (positive) impact of a Circular Economy process or Circular Economy product
    • Enabling technologies | Industry 4.0 technologies (IoT, big data analytics) for monitoring and managing circular value chains
    • Enabling technologies | Life cycle assessment / Product life cycle management – e.g., Digital Twin / Digital Product Passport
    • Enabling technologies | Tools and solutions addressing challenges emerging from product focused regulations (such as the ESPR)
    • Enabling technologies | Reverse Manufacturing (e.g. adaptive automation for high variance, sorting, sophisticated logistic systems)
    • Enabling technologies | AI-driven diagnostic systems, e.g., for assessing the viability of reused, remanufactured, and recycled components
    • Data technologies | (AI based) recognition systems (e.g. image recognition) to evaluate materials, components and products and determine the best use paths
    • Data technologies | Data ecosystems for the realisation of circular value creation exploiting the full potential of digitalisation – e.g., harnessing existing, purpose-built platform solutions.
    • Enabling technologies | Manufacturing and machine learning, e.g., to increase the flexibility of industrial processes, modular approaches, reduce use of materials, quality assurance and certification of products)

    Vivek Chavan

    Research Associate at Fraunhofer IPK

    Berlin, Germany