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COM-based execution outperforms GUI interactions, achieving state-of-the-art results in professional software manipulation tasks where traditional methods fail.
IterCAD achieves a significant leap in CAD generation by enabling iterative, interactive design processes that align with real-world manufacturing practices.
Energy-guided diffusion models can bridge the gap between source and target domains in off-dynamics offline RL, enabling effective trajectory generation without retraining the diffusion model.
By clustering transitions and estimating cluster-level dynamics discrepancy, LoDADA offers a fine-grained and scalable data selection strategy that outperforms existing off-dynamics offline RL methods.
Achieve state-of-the-art performance in vision-language-action tasks with Xiaomi-Robotics-0, a model that executes smoothly in real-time on real robots using a consumer-grade GPU.