LIME formulates language-conditioned camera motion as predicting SE(3) target poses from RGB and intent text, using mined multi-intent supervision from egocentric video and a flow-matching pose head.
Unigoal: Towards universal zero-shot goal-oriented navigation
4 Pith papers cite this work. Polarity classification is still indexing.
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UNVERDICTED 4representative citing papers
PLMD applies a denoising diffusion model to predict labels for unknown map regions, allowing goal localization in unexplored environments by substituting completed labels into existing navigation pipelines.
C-Nav is a continual visual navigation framework with dual-path anti-forgetting via feature distillation and replay plus adaptive sampling that outperforms baselines on a new continual object navigation benchmark while using less memory.
DREAM is a mobile manipulation system that constructs online spatio-semantic voxel memory with redundancy-aware pruning and hybrid language-vision localization, reporting higher long-horizon success rates than DynaMem in dynamic lab scenes.
citing papers explorer
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LIME: Learning Intent-aware Camera Motion from Egocentric Video
LIME formulates language-conditioned camera motion as predicting SE(3) target poses from RGB and intent text, using mined multi-intent supervision from egocentric video and a flow-matching pose head.
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Plug-and-Play Label Map Diffusion for Universal Goal-Oriented Navigation
PLMD applies a denoising diffusion model to predict labels for unknown map regions, allowing goal localization in unexplored environments by substituting completed labels into existing navigation pipelines.
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C-NAV: Towards Self-Evolving Continual Object Navigation in Open World
C-Nav is a continual visual navigation framework with dual-path anti-forgetting via feature distillation and replay plus adaptive sampling that outperforms baselines on a new continual object navigation benchmark while using less memory.
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Dynamic Resilient Spatio-Semantic Memory with Hybrid Localization for Mobile Manipulation
DREAM is a mobile manipulation system that constructs online spatio-semantic voxel memory with redundancy-aware pruning and hybrid language-vision localization, reporting higher long-horizon success rates than DynaMem in dynamic lab scenes.