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Institute of Science and Technology (KAIST)
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TRACE achieves remarkable robustness in odometry for legged robots, outperforming traditional methods even in challenging contact scenarios.
Masked diffusion unlocks a unified paradigm for any-to-any multimodal modeling, rivaling specialized models without modality-specific decoders.
