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Long-horizon embodied agents struggle to translate long-term memory into actionable plans, exposing critical gaps in current benchmarks and methodologies.
A single model can now achieve state-of-the-art semantic segmentation across diverse sensor modalities like thermal, depth, and polarization, eliminating the need for modality-specific architectures.
