AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
We have 3 of 3 papers
We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.
Not the right person? Other researchers publish under this name.
Scaling generalist robotic policies is limited by the high cost of collecting embodied interaction data. Large-scale egocentric human videos offer a rich alternative, but they lack robot action labels, and existing action annotation methods are often noisy under real-world visual complexity and diverse manipulation dyn...
WLA$^3$ (World Latent Action Modeling for Semantics, Dynamics, and Kinematics), a unified generalist policy model framework built around representations learned by a World Latent Action Model (WLAM), is introduced.
AntiGrounding, a visual action-selection framework built around a dual geometric--visual trajectory interface, is presented, where component ablations and evaluator sensitivity characterize trajectory assessment, proposal search, orientation control, and evaluator choice.
We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.