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Hierarchical scene graph matching, learned end-to-end, unlocks fast and accurate robot localization by grounding real-time sensor data against prior architectural maps.
Rule-based high-level coaching can drastically improve the safety and sample efficiency of goal-conditioned RL agents in UAV missions, even without pretraining.
Floor plans, rich with semantic information,
Key contribution not extracted.
Robots can now "see" and understand doorways, enabling more robust navigation in complex indoor environments.