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KAIST, Config
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Achieving a near-perfect alignment with real-world robot evaluations, RoboWorld redefines how we assess generalist robot policies in simulated environments.
Training robots on human-present data leads to significantly improved human-aware behaviors, highlighting the critical role of human interaction in robotic learning.
LLMs can't keep up: even state-of-the-art models struggle to adapt to dynamically changing facts in continual knowledge streams, forgetting updates and getting distracted.
