AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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Social Humanoid is a hierarchical system that generates and executes socially responsive whole-body motion on a 29-DoF Unitree G1 conditioned on a human partner's motion, and produces coordinated, human-aligned behavior across diverse interaction types in simulation and the real world.
Foundation models are expanding robot capabilities, enabling robots to handle more diverse objects, follow sophisticated instructions, and operate in complex environments. These advances bring us to a future in which robots become part of everyday household life. However, cluttered, dynamic household environments also...
Recent world action models provide visual foresight and future prediction for robot manipulation, but lack explicit mechanisms for compositional skill reuse. Agentic robotics combines code-based planning and reasoning with reusable skills, but often lacks predictive grounding in physical dynamics. We introduce AW-0, an...
ContextFlow is introduced, a conditional flow-matching model that learns continuous action distributions for in-context imitation learning and adapts perceiver-style multimodal context compressors that distill visual, proprioceptive, and action sequences into compact, task-relevant latent representations.
Predicted-state matching, a training objective where the predicted representation must distinguish the true resulting state from those reached by alternative actions, is introduced and outperforms world models trained with supervised next-state prediction.
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