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Fine-grained embodied interactions between multiple agents can be effectively modeled by synchronizing ego-stream generation with cross-view action consistency and shared environment memory.
SpatialClaw enables agents to dynamically compose and adapt their reasoning strategies, achieving a remarkable 11.2-point accuracy boost over traditional spatial agents.