Author

Riccardo Zuliani

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Jul 2026

Model-Agnostic Meta Learning for Differentiable MPC

This work proposes a novel framework combining policy optimization with meta-learning to train highly adaptable MPC controllers, which enables rapid adaptation to unseen tasks, maintaining high performance at a fraction of the computational cost required for full retraining.

Salma Elfeki, Riccardo Zuliani, Niklas Schmid et al. · arXiv.org · 0 citations

Jul 2026

Multi-scale closed-loop melt pool control for LPBF via policy optimization

Laser powder bed fusion (LPBF) is a metal additive manufacturing process where temperature stabilization is of vital importance to avoid defects such as distortion and cracking. Existing control methods require manual tuning, increasing the risk of part failure when printing complex geometries. This paper introduces a...

Jun-Feng Lin, Riccardo Zuliani, Barış Kavas et al. · arXiv.org · 0 citations