A VLM-guided method for joint bimanual affordance localization and arm allocation achieves higher real-world task success rates than geometric or semantic baselines across nine manipulation tasks.
Spatialvlm: Endowing vision-language models with spatial reasoning capabilities,
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Task-Aware Bimanual Affordance Prediction via VLM-Guided Semantic-Geometric Reasoning
A VLM-guided method for joint bimanual affordance localization and arm allocation achieves higher real-world task success rates than geometric or semantic baselines across nine manipulation tasks.