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On-policy self-distillation can boost diffusion model performance by up to 44% while slashing training time by over 60%.
Achieving a 91.7% success rate in obstacle avoidance, Orbit-Planner redefines how satellite agents navigate dynamic environments without relying on fixed maps.
Models that ignore context may seem robust, but they can fail spectacularly when the context is actually trustworthy.
The data pyramid framework reveals how the interplay of diverse data sources can unlock new capabilities in embodied agents, highlighting critical gaps in current methodologies.
