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SG-WAM achieves unprecedented accuracy in action-conditioned future state prediction by integrating geometry-aware dynamics directly into the policy representation space.
Achieve real-time, globally consistent, and photorealistic SLAM in large-scale environments by directly performing loop closure on optimized Gaussian maps.
