Steinbeis Innovation Center Artificial Intelligence for Humans and Machines

Pfaffenweg 26
70180 Stuttgart
Germany
  • Phone: +49 172 7136234
    Management:
  • Prof. Dr.-Ing. Vera Hummel
  • Prof. Dr. Daniel Palm
Send e-mail Print page

People and intelligent machines work as a team โ€“ by combining their capabilities, we can specifically enhance their respective strengths. Companies must design their processes in such a way that they genuinely foster this partnership. In doing so, we unlock the true potential of digital transformation. We support companies in this endeavour.

Prof. Dr.-Ing. Vera Hummel, Prof. Dr. Daniel Palm

Services

  • Unlocking the potential benefits of AI as a technological innovation for people and machines
  • Highlighting the potential benefits of innovative technologies for people and machines
  • Connecting SMEs in the field of digital twins and AI
  • Promoting the dissemination of scientific findings and making knowledge available
  • Encouraging SMEs to realise their economic potential and initiating technology transfer and research projects
  • Applying for and implementing research projects

Key topics

  • Artificial Intelligence
  • Digital Twin
  • Industry 4.0
  • Human-machine collaboration, cobots
  • Smart Factory and Smart Logistics
  • Internet of Things
  • Blockchain and process automation
  • Production networks and the circular economy

Project examples

  • Artificial Intelligence for Digital Twins (AI4DT)
  • Monitoring of intralogistics processes and the implementation of appropriate measures in the event of defined deviations; self-regulating logistics processes
  • Semi-autonomous design and evaluation (cost-effectiveness and work system value) of production systems using digital twins
  • AI-supported method for collaborative semi-autonomous group work between humans and robots
  • Optical recognition and automatic classification using a trained artificial neural network in logistics
  • AI-based ergonomic analysis and training in assembly and order picking
  • Organisation and collaboration between individual intelligent systems and their traceability in the blockchain
  • Process automation through smart contracts
  • Digital product memory and traceability of manufacturing value chains
  • Process optimisation using pattern recognition

Media

Steinbeis Transfer Magazine