Updated on 28 June 2025
Implementing Low-Cost Autonomous AI Machines for Recycling and Reusables in Cities
About
With more than 1,000 Bots operating across South Korea, We are expanding looking for implementation partners in Europe for city-wide implementation pilots.
Our Lalaloop platform consist of smart machines (Bots) with sensors and AI technology to enable material collection and identification from consumers. Our platform also has a user App that rewards users for their participations giving them points that can be exchanged by coupon discounts or products, and also has a client dashboard to access all sustainability metrics and ESG metrics. And we also create traceable IDs for Digital Product Passports for manufacturers to track the entire life-cycle of products and packaging.
Actively looking for implementation and operation partners to run pilots across Europe.
Stage
- Already defined
Topic
- Data technologies | (AI based) recognition systems (e.g. image recognition) to evaluate materials, components and products and determine the best use paths
- Data technologies | Design of an adaptable Digital Product Pass:
- Enabling technologies | Industry 4.0 technologies (IoT, big data analytics) for monitoring and managing circular value chains
- Enabling technologies | Robotic / handling - and assistance systems
- Enabling technologies | Life cycle assessment / Product life cycle management – e.g., Digital Twin / Digital Product Passport
Type
- Consortium seeks Partners
- Expertise offered
Organisation
Similar opportunities
Project cooperation
- Already defined
- Expertise offered
- Consortium seeks Partners
- Enabling technologies | Life cycle assessment / Product life cycle management – e.g., Digital Twin / Digital Product Passport
Kadir Nurullah YAĞCI
Research Projects and Incentive Responsible at Eureka Network
BURSA, Türkiye
Project cooperation
- Early idea
- Already defined
- Consortium seeks Partners
- Enabling technologies | Robotic / handling - and assistance systems
- Enabling technologies | (Advanced) Materials and additive manufacturing
- Data technologies | (AI based) Material and Product Design, Decomposition and Separation
- 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
Athina Kotrozou
Student
Stuttgart, Germany
Project cooperation
Reverse value chain for circular electronics management - supported by postal networks
- Early idea
- Already defined
- Consortium seeks Partners
- Enabling technologies | Network design of reverse supply chains
- Enabling technologies | (Advanced/smart) Sensors, e.g., enabling materials, components and product flows measurement
- Data technologies | Interoperability of CVC-relevant data ecosystems, quality assurance and traceability across systems
- 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 | 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
Koeun Lee
Circular economy and value chains consultant at Universal Postal Union (UPU)
London, United Kingdom