Updated 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
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
Researcher @Fraunhofer IPK & TU Berlin at Fraunhofer IPK
Berlin, Germany
Expertise
Project Consortium :Cluster 4 – Industry -Materials & Production
- Reverse Manufacturing
- Industry 4.0 technologies
- Manufacturing and machine learning
- Simulation models and predictive analytics
- (Advanced) Materials and additive manufacturing
Haifa SALLEM
Associate professor at HES-SO University of Applied Sciences and Arts of Western Switzerland
Sion, Switzerland
Project cooperation
- Already defined
- Consortium seeks Partners
- Enabling technologies | Robotic / handling - and assistance systems
- Enabling technologies | (Advanced) Materials and additive manufacturing
- Enabling technologies | (Advanced/smart) Sensors, e.g., enabling materials, components and product flows measurement
- 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
- 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)
Angeles Ibaibarriaga
Founder at Segunda Generación SpA
Lolol, Chile