AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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This work introduces DeltaWAM, a change-centric WAM that makes a compact delta token the unit of future prediction, each token is a single vector encoding changes between consecutive dense DINO feature maps.
This paper aims to reduce latency and the dynamic memory usage of the π 0.5 model by performing timestep distillation on the diffusion process in the π 0.5 action head to create a 3-step diffusion action head.
Coding agents have emerged as a promising paradigm for robot manipulation: a language model writes the robot controller as a program, and agents built in this way now operate robots without robot-specific training.Whether this paradigm is also safe, however, has not been asked. We evaluate coding agent under a safety c...
Learning reliable surgical manipulation policies is bottlenecked by the scarcity of action-labeled demonstrations: teleoperated surgical robot (e.g., dVRK) trajectories with synchronized kinematics are costly to collect, while surgical tasks demand precise contact handling, long-horizon reasoning, and bimanual coordina...
BATON improves task success by 11.6% and cumulative success by 14.9% over the SoTA and improves task success by 11.6% over the RoboMemArena on the long-horizon benchmark RoboMemArena.
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