AGIMUS aims to deliver an open-source breakthrough innovation in AI-powered agile production, introducing solutions that push the limits of perception, planning, and control in robotics, enabling general-purpose robots to be quick to set up, autonomous and to easily adapt to changes in the manufacturing process.
https://www.agimus-project.eu/
Derniers dépôts
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Antoine Bambade, Fabian Schramm, Adrien Taylor, Justin Carpentier. Leveraging augmented-Lagrangian techniques for differentiating over infeasible quadratic programs in machine learning. ICLR 2024 - The Twelfth International Conference on Learning Representations, May 2024, Vienne (Austria), France. ⟨hal-04133055v2⟩
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Notices
