Abstract: This article builds the theoretical foundations for finite-control set model predictive control by leveraging the theory of data-driven model-free reinforcement learning solution.
Abstract: This paper deals with a model-based approach for the design of electric motors dedicated to eVTOL propulsion, emphasizing the aerodynamic constraints and mission profiles specific to urban ...
For decades, robots have excelled in structured settings like assembly lines, where tasks are predictable and tightly scripted. “The emergence of vision-language-action (VLA) models for physical ...
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