Differences

This shows you the differences between two versions of the page.

Link to this comparison view

Both sides previous revisionPrevious revision
Last revisionBoth sides next revision
research:ispl [2012/10/31 15:52] – [Intelligent Systems in Production & Logistics] mgaresearch:ispl [2012/10/31 16:18] – [Intelligent Systems in Production & Logistics] mga
Line 9: Line 9:
  
 <html> <html>
-<iframe width="560" height="315" src="http://www.youtube.com/embed/a2eYeMBEpHo" frameborder="0" allowfullscreen></iframe> </html>+ 
 +<div align="center"> 
 + 
 +<iframe width="560" height="315" src="http://www.youtube.com/embed/a2eYeMBEpHo" frameborder="0" allowfullscreen></iframe>  
 +</div></html>
  
 The research group is associated with the [[http://logdynamics.biba.uni-bremen.de/?&L=1| Research Cluster for Dynamics in Logistics]] and was part of the [[http://www.sfb637.uni-bremen.de/?&L=2|Collaborative Research Centre 637 Autonomous Cooperating Logistic Processes – A Paradigm Shift and its Limitations (CRC 637)]]. Concepts and approaches developed within the CRC 637 have been adapted and refined to apply them successfully within current processes of our industrial partners to indentify new potentials for optimization. The research focuses on developing innovative approaches to enable autonomous logistic processes.  Our objective is to improve planning and controlling processes with artificial intelligence in order to meet the increasing requirements and new challenges in logistics.  The research group is associated with the [[http://logdynamics.biba.uni-bremen.de/?&L=1| Research Cluster for Dynamics in Logistics]] and was part of the [[http://www.sfb637.uni-bremen.de/?&L=2|Collaborative Research Centre 637 Autonomous Cooperating Logistic Processes – A Paradigm Shift and its Limitations (CRC 637)]]. Concepts and approaches developed within the CRC 637 have been adapted and refined to apply them successfully within current processes of our industrial partners to indentify new potentials for optimization. The research focuses on developing innovative approaches to enable autonomous logistic processes.  Our objective is to improve planning and controlling processes with artificial intelligence in order to meet the increasing requirements and new challenges in logistics. 




Prof. Dr. hc. Michael Beetz PhD
Head of Institute

Contact via
Andrea Cowley
assistant to Prof. Beetz
ai-office@cs.uni-bremen.de

Discover our VRB for innovative and interactive research


Memberships and associations:


Social Media: