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Learning-based Approximate Model Predictive Control for an Impact Wrench Tool
arXiv:2512.16624v1 Announce Type: new
Abstract: Learning-based model predictive control has emerged as a powerful approach for handling complex dynamics in mechatronic systems, enabling data-driven performance improvements while respecting safety constraints. However, when computational resources a…
Abstract: Learning-based model predictive control has emerged as a powerful approach for handling complex dynamics in mechatronic systems, enabling data-driven performance improvements while respecting safety constraints. However, when computational resources a…