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Learning from Humans, for Robots

November 10, 2025 by BBG News

Despite the inevitable complexities of real-world robotic execution, X-Diffusion consistently outperformed existing methods—including those leveraging co-training and alternative diffusion approaches—across five distinct manipulation tasks by effectively integrating human demonstration data, even when human and robot movement styles differed.

A new approach bridges the gap between human demonstrations and robotic control, even when humans and robots have different capabilities.

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