WZL RWTH Aachen University

Project cooperation

LLM4CVC - AI based planning for automated disassembly

LLM4CVC is a Project aiming to enable automated disassembly though a combination of AI-based data processing and skill based robotics.

• Early idea
• Already defined
• Consortium seeks Partners
• Data technologies | Design of an adaptable Digital Product Pass:
• Enabling technologies | Robotic / handling - and assistance systems
• Data technologies | (AI based) process and system control technologies
• Data technologies | (AI based) Material and Product Design, Decomposition and Separation
• Data technologies | Approaches to support SME fully exploit the value of existing CVC-related data
• Data technologies | Interoperability of CVC-relevant data ecosystems, quality assurance and traceability across systems
• Enabling technologies | Life cycle assessment / Product life cycle management – e.g., Digital Twin / Digital Product Passport
• Enabling technologies | Reverse Manufacturing (e.g. adaptive automation for high variance, sorting, sophisticated logistic systems)
• 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)