Building trustworthy planning and scheduling systems

What is a reliable Al system? 
We want to deeply investigate the technical and algorithmic bases of such systems

The three-year mission of TUPLES is to provide new technical approaches for Planning & Scheduling

We will test our findings on real-world problems and create a test environment for future reliable P&S systems

AI in the places where it's actually done, with little media hype and a lot of hard work.

Daniel Höller, Jörg Hoffmann, Marcel Steinmetz and our chief coordinator Sylvie Thiebaux are in the organizing committee of the upcoming third Workshop on Reliable Data-Driven Planning and Scheduling (RDDPS) that is being held within The International Conference on Automated Planning and Scheduling (ICAPS) the premier forum for researchers and practitioners in planning and scheduling.

The manufacturing use case is based on well-known scheduling and resource allocation and planning challenges and this use case has a number of special features that make the challenge much more complex. The use case has two applications: robust scheduling of resources and resource allocation for rack systems.

building tools to increase confidence

No harm to people or the environment

Stability and sensitivity in all situations