AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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This work reframes physics-based retargeting as a residual learning problem, where it is demonstrated that zero-shot generalization across objects relies on structured state representations and produces a physics-based retargeter, OATH.
Reliable quadrotor flight in disturbed environments requires predictive models that remain accurate as unmodeled aerodynamic effects change during deployment. We introduce a disturbance-aware Koopman Control Family (DA-KCF) framework that preserves an offline-identified nominal model while learning only a disturbance-i...
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