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Trajectory-scoped safety monitors for LLM agents are fundamentally flawed, leading to a 50% chance of missing threats that span multiple iterations.
Riemann-1.0 transforms embodied intelligence by unifying robot policy execution and world simulation, achieving unprecedented success rates in real-world manipulation tasks.
LAC enables humanoid robots to dynamically adapt their compliance to external forces, significantly improving their interaction capabilities in real-world tasks.
