arXiv Computer Vision
Retrospective Open-Vocabulary Memory for Long-Term Object Search
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EffiNav: Fusing Depth and Vision-Language for Efficient Object Goal Navigation
arXiv:2606. 18634v1 Announce Type: cross Abstract: To locate a target object while exploring the unknown environment is a fundamental capability for autonomous agents, with applications ranging from search-and-rescue to field robots.
arXiv AI
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Beyond the Remembered World: Predictive 4D Belief for Persistent Navigation in Evolving Worlds
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arXiv AI
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LifelongCrossNav: Persistent 3D Semantic Memory for Cross-Floor Multi-Object Navigation
arXiv:2608. 07079v1 Announce Type: cross Abstract: Object-goal navigation has made substantial progress in semantic perception and exploration, yet persistent memory for multi-object navigation and cross-floor navigation are still commonly addressed separately.
arXiv Computer Vision
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Hierarchical Aggregation of Semantic Uncertainty in 3D Scene Graphs
arXiv:2609.22351v1 Announce Type: new Abstract: Open-vocabulary 3D Scene Graphs (3DSGs) ground each object node in a vision-language embedding, yet they record every entry as equally certain, so a ro...
arXiv Computer Vision
Sep 17
Finder: Agentic Closed-Loop Object Finding for Embodied Grounding
arXiv:2609.18058v1 Announce Type: new Abstract: Finding the object referred to by language in a partially observed 3D scene is a core capability for embodied agents. Existing approaches either couple...
arXiv AI
Jul 9
Object Search in Partially-Known Environments via LLM-informed Model-based Planning and Prompt Selection
arXiv:2603. 23800v2 Announce Type: replace-cross Abstract: We present a novel LLM-informed model-based planning framework, and a novel prompt selection method, for object search in partially-known environments.