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Quadruped robots can now perform contact-rich manipulation with significantly improved dexterity by learning to "feel" their way through tasks.
Guaranteeing energy dissipation in physics-informed neural networks lets you model complex electromechanical systems more accurately than black-box LSTMs, even with limited data.