AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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Spatial Grafting is proposed, a versatile, lightweight spatial module that binds frozen reconstruction features to metric, robot-relative geometry and injects them into the flow-matching action expert through cross-attention without modifying the host's perceptual pathway, so the host retains the full benefit of its pr...
Hierarchical planning frameworks combine skills from multiple robot control policies for long-horizon task execution, where determining when to terminate the current skill and advance to the next subtask is essential. Existing approaches often rely on pre-designed completion signal checkers that are hard to obtain in r...
RoboHarness is proposed, a unified framework that encapsulates independently developed robot control systems as reusable agentic skills as well as a general framework compatible with a broader range of robot policies, such as navigation policies, model predictive controllers, and world-action models.
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