AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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ForceTwin is a system for identifying physics-informed digital twins of articulated objects from instrumented human interaction that achieves 87% goal completion across nine object-embodiment pairs, compared with 60% using VLM-prior and 57% using kinematics-only twins.
This work proposes Contact Flow, an embodiment-agnostic action representation that encodes manipulation through the trajectory of 3D contact points between an actor and a target object, and integrates this model into a propose-imagine-verify-act pipeline, where generated rollouts are assessed by a vision-language model...
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