Robbyant
Technology-driven and application-oriented. We build foundational large models for embodied AI: spatial perception (LingBot-Depth), VLA (LingBot-VLA), world models (LingBot-World), video action (LingBot-VA). Jointly embrace the new era of embodied intelligence. 技术驱动、场景导向，自研具身智能基础大模型，共迎具身智能新时代，共创幸福生活新场景。
Method Streaming 3D reconstruction is fundamentally a question of memory — what to keep, and in what form. LingBot-Map answers this with Geometric Context Attention (GCA), a small but structured streaming state that is learned end‑to‑end. GCA maintains three complementary contexts: an anchor for coordinate and scale grounding, a local pose‑reference window for dense local geometry, and a trajectory memory that compresses the full history into compact per‑frame tokens — keeping memory and compute per frame nearly constant on sequences of 10,000+ frames at ~20 FPS. Pipeline of LingBot-Map. A…
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