Proposes online hierarchical 3D scene graph construction paired with belief-based planning to improve zero-shot semantic navigation performance in unseen environments.
proceedings of the National Academy of Sciences93(4), 1591–1595 (1996)
2 Pith papers cite this work. Polarity classification is still indexing.
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PoseShield learns a neural collision field directly in SMPL pose space with Eikonal regularization to correct self-collisions post-hoc in human pose estimation and motion generation, achieving 95.8% success on a new benchmark.
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Hierarchical 3D Scene Graph Construction and Belief-based Planning for Semantic Navigation
Proposes online hierarchical 3D scene graph construction paired with belief-based planning to improve zero-shot semantic navigation performance in unseen environments.
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PoseShield: Neural Collision Fields for Human Self-Collision Resolution
PoseShield learns a neural collision field directly in SMPL pose space with Eikonal regularization to correct self-collisions post-hoc in human pose estimation and motion generation, achieving 95.8% success on a new benchmark.