ThesisDigitalPalletModelIntegrationintoanOverallPlantSimulation

Movu Robotics Innovation, ambitious growth, technology, state-of-the-art robots – that’s Movu Robotics in a nutshell. Due to the in-house design and manufacturing process of our systems, an exciting, hands-on work environment with plenty of challenges and advancement opportunities is guaranteed. Will you help shape the future of intralogistics? Problem statement In modern automated logistics and warehouse environments, plant control software must operate reliably across a wide variety of pallet types, each with distinct physical and dimensional properties. Currently, no structured digital representation of pallet data exists that can be systematically fed into the plant simulation model, leaving regression testing largely dependent on physical, on-site trials. As a consequence, when new software versions are released, their compatibility with the full range of pallet types—including special or atypical variants—cannot be verified in a virtual environment prior to deployment. This gap forces engineering teams to conduct repeated physical pallet tests, a practice that is both time-intensive and resource-costly. Furthermore, the absence of a centralized, validated pallet database limits the plant model's fidelity and prevents meaningful simulation of edge cases. Closing this gap is essential not only to accelerate the software release cycle, but also to reduce operational risk, decrease physical testing overhead, and progressively build a comprehensive, reusable repository of pallet profiles that enriches future simulation capabilities. Main issues - Coverage & Pallet Diversity The plant software must handle a heterogeneous population of pallet types, including non-standard and special-purpose variants. Ensuring that the simulation model accounts for the full diversity of real-world pallet geometries, weights, and surface properties—without direct physical access to each type during testing—requires a methodical data collection strategy and a robust parametric model th