Search papers, labs, and topics across Lattice.
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LingBot-VA 2.0 achieves few-shot generalization in complex robot manipulation tasks, outperforming traditional video generative models.
LingBot-Video bridges the gap between digital creativity and physical actuation, achieving unprecedented efficiency in video pretraining for embodied intelligence.
Unbounded interaction horizons and real-time responsiveness redefine the possibilities for immersive AI-driven environments.
LingBot-VLA 2.0 showcases a remarkable leap in robotic manipulation, achieving strong cross-embodiment performance with enhanced predictive capabilities.
Boundary-centric pretraining can dramatically enhance depth estimation, a critical capability for embodied AI systems.
WorldDirector achieves unprecedented control over dynamic object memory in video synthesis, ensuring visual consistency even after prolonged occlusion.
OpenReLoc achieves unprecedented relocalization accuracy by leveraging open-vocabulary semantics and structured object representations, setting a new standard for indoor navigation systems.
Disentangling geometry and texture in neural mesh representations unlocks versatile editing capabilities that traditional methods can't match.
Semantic visual-action tokenization in RepWAM significantly enhances robotic manipulation performance, outperforming traditional reconstruction-based approaches.
A million videos with paired depth, camera pose, and 3D point tracks could unlock a new wave of 3D-aware video models.
