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SAGE-Nav achieves state-of-the-art navigation efficiency and zero-shot generalization by seamlessly integrating LLM planning with dynamic scene graphs.
A latency-resilient fusion layer transforms slow VLM outputs into real-time trajectory scoring, cutting average distance error by 30% in complex navigation scenarios.
WalkOCC achieves superior sidewalk occupancy prediction by leveraging unpaired monocular images, eliminating the need for costly 3D annotations.
FlowPilot achieves a remarkable 42% success rate in complex sidewalk navigation tasks, showcasing the power of human-preference flow policies in real-world applications.