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A single operator, aided by an MLLM-based agent, can achieve data collection success rates comparable to expert dual-human teams in complex multi-arm tasks.
Kairos achieves top-tier performance in Physical AI while ensuring efficient state management over extended time horizons, setting a new standard for operational world models.
Current text-to-CAD models can generate shapes, but they fail spectacularly when it comes to creating functional, manufacturable, and assemblable designs, as revealed by the new MUSE benchmark.
Multi-level preference alignment in SignDPO significantly reduces semantic drift, outperforming traditional gloss-free models and challenging gloss-based benchmarks.
