arXiv Computer Vision
SPARC: Reliable Spatial Annotations from Robot Demonstrations at Scale
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Pro-Bench: Prompt-Robust Open-Vocabulary Visual Grounding Across Real-World Heterogeneous Environments
arXiv:2609.27076v1 Announce Type: new Abstract: Open-vocabulary visual grounding enables robots to localise task-relevant entities from natural-language queries without dependence on predefined perce...
arXiv Computer Vision
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AnnotateAnything: Automatic Annotation of 3D Assets for Robot Manipulation
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Acting in Meters: Learning Metric Interactions for Precise Robotic Manipulation
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Task Robustness via Re-Labelling Vision-Action Robot Data
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arXiv Computer Vision
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Metric-Bench: Exploring In-context Spatial Metric Reasoning in VLMs for Indoor Scenes
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