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ELMP slashes adaptation costs for motion planning by two orders of magnitude while boosting success rates in unseen environments to nearly 90%.
Optimization-guided diffusion not only ensures feasibility in robot control tasks but also enhances task success rates by up to 23 percentage points without retraining the model.
GAM revolutionizes robot policy learning by seamlessly integrating 3D geometric reasoning, outperforming traditional models in accuracy and efficiency.
