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
We’re proud to share that members of the TUPLES consortium — including Daniel Höller, Jörg Hoffmann, and our coordinator Sylvie Thiebaux — are on the organizing committee of the RIPL Workshop (Reliability in Planning and Learning), part of the prestigious ICAPS 2025 conference.
A recent article in the Czech magazine Nový Prostor, featuring our partners at the Faculty of Electrical Engineering at CVTU (Czech Technical University in Prague), offers a clear and accessible view of how TUPLES technology is already making a difference in urban waste collection — one of the project’s five real-world use cases.
Nearing the finish line of the TUPLES project, we’re reflecting on three years of ambitious, collaborative research into Trustworthy AI for Planning and Scheduling.
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