Calibrated Probabilistic Obstruction Reasoning with Vision-Language Models for Grasping in Clutter

arXiv:2609.18718 · cs.RO · Submitted 2026-09-16 · Read on arXiv

cs.RO

Submitted: 2026-09-16

Updated: 2026-09-16

Terminology

• Calibration — 18× in this paper · explained in 7 episodes
• AUROC — 7× in this paper · explained in 2 episodes
• Deferral — 7× in this paper · explained in 2 episodes
• Ablation — 4× in this paper · explained in 1 episode
• Vision-language models — 4× in this paper · explained in 2 episodes
• Consistency — 3× in this paper · explained in 3 episodes
• Accuracy — 2× in this paper · explained in 1 episode
• Benchmark — 2× in this paper · explained in 2 episodes
• Grounding — 2× in this paper · explained in 3 episodes
• Trace — 2× in this paper · explained in 2 episodes
• F1 Score — 1× in this paper · explained in 3 episodes
• Fine-Tuning — 1× in this paper · explained in 5 episodes
• Generalization — 1× in this paper · explained in 13 episodes
• Instance Segmentation — 1× in this paper · explained in 3 episodes
• Reasoning Traces — 1× in this paper · explained in 3 episodes
• Structural Reasoning — 1× in this paper · explained in 2 episodes

Sources

• An Efficient Message-Passing Algorithm for the M-Best MAP Problem
• InternVL3.5: Advancing Open-Source Multimodal Models in Versatility, Reasoning, and Efficiency
• Gemma 3 Technical Report

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