ExpertiseUpdated on 14 April 2025
Adaptive Robotics for (Dis-)Assembly
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
Expert in Additive Manufacturing & Shape Memory Alloys for Circular Value Creation
Nazim Babacan
Associated Professor at Sivas University of Science and Technology
Sivas, Türkiye
Project cooperation
Digital Product Passport for Circular Economy
- Already defined
- Expertise offered
- Consortium seeks Partners
- Data technologies | Assistance and Expert systems
- Data technologies | Design of an adaptable Digital Product Pass:
- Enabling technologies | (Advanced) Materials and additive manufacturing
- Data technologies | (AI based) Material and Product Design, Decomposition and Separation
- 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 | 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)
Ralph Weissnegger
Director Innovation & Funding at CISC Semiconductor GmbH
Klagenfurt, Austria
Project cooperation
- Already defined
- Consortium seeks Partners
- Enabling technologies | Network design of reverse supply chains
- Data technologies | (AI based) recognition systems (e.g. image recognition) to evaluate materials, components and products and determine the best use paths
Aysegul gündüz
Founder at Loopifyr
İstanbul, Türkiye