Node-wise beam search with expected gain and RRAG graph construction outperforms prior active perception methods by at least 20% on representative tasks.
Ippon: Common sense guided informative path planning for object goal navigation
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
fields
cs.RO 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
OpenFrontier formulates robot navigation as sparse subgoal reaching via visual-language-grounded frontiers, achieving zero-shot performance without fine-tuning or dense semantic maps.
citing papers explorer
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An Efficient Beam Search Algorithm for Active Perception in Mobile Robotics
Node-wise beam search with expected gain and RRAG graph construction outperforms prior active perception methods by at least 20% on representative tasks.
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OpenFrontier: General Navigation with Visual-Language Grounded Frontiers
OpenFrontier formulates robot navigation as sparse subgoal reaching via visual-language-grounded frontiers, achieving zero-shot performance without fine-tuning or dense semantic maps.