AI RESEARCH
Rectified Schr\"odinger Bridge Matching for Few-Step Visual Navigation
arXiv CS.AI
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ArXi:2604.05673v1 Announce Type: cross Visual navigation is a core challenge in Embodied AI, requiring autonomous agents to translate high-dimensional sensory observations into continuous, long-horizon action trajectories. While generative policies based on diffusion models and Schr\"odinger Bridges (SB) effectively capture multimodal action distributions, they require dozens of integration steps due to high-variance stochastic transport, posing a critical barrier for real-time robotic control.