AI and Robotics-Driven Lifecycle Management for Industrial Automation

We specialise in AI-driven solutions for circular economy challenges, building intelligent systems to analyse, refurbish, and recycle end-of-life appliances. Our work integrates computer vision, data-driven lifecycle management, and robotic process automation to promote sustainability and industrial innovation. We also develop industrial assistance systems focused on multimodal understanding and process intelligence. Our research brings together state-of-the-art computer vision, continual learning, and human–machine interaction to optimise real-world industrial workflows.

We bring academic depth and practical relevance: our team has published extensively in AI and computer vision, and we actively create commercial impact through collaborations with industry partners.

Expected Impact:

• Reduction sorting/assessment labour. Increased accuracy and efficiency in reverse logistics.

• Efficient and scalable approaches for robotics-assisted inspection, sorting, disassembly.

• Vision and Robotics-as-a-Service model for SMEs and OEMs.

• Workforce upskilled for AI-assisted remanufacturing decisions.

We are looking for Industry Partner/s

• To apply the solutions to real-world workflows and validate their scalability and impact.

• Industries and domains that will benefit most from this research.

• Implement AI-driven technologies to drive effective management of products throughout their lifecycle.

and, Research Partner/s

• To drive the fundamental and applied research and contribute to open-science.

Here are some of our recent projects:

🔗 EIBA:
https://www.ipk.fraunhofer.de/de/zusammenarbeit/referenzen/eiba.html

🔗 KIKERP:
https://www.ipk.fraunhofer.de/en/references/kikerp.html

🔗 MRO-2.0
https://www.bam.de/Content/EN/Projects/MRO-2-0/mro-2-0.html