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README.md
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---
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license: mit
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---
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license: mit
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language:
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- en
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task_categories:
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- text-classification
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tags:
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- robotics
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- perception
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- manipulation
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- autonomy
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pretty_name: "Clarus Perception Action Coherence Risk v0.1"
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dataset_id: "robotics-perception-action-coherence-risk-v0.1"
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domain: robotics
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pillar: perception_action
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series: "RB-01"
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coherence_pair:
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observable_a: perception_detection_and_pose_quality
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observable_b: plan_validity_safety_checks_and_execution_outcome
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ground_truth: ground_truth_label
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validation_status: pre_release
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---
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What this repo is for
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You use it to detect when a robot sees the right thing but does the wrong thing.
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It targets day-to-day deployment failures:
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correct detection with wrong grasp
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pose uncertainty that breaks planning
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safety check failure that blocks execution
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execution that completes but misses intent
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Typical uses:
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warehouse pick and place
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bin picking
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hospital delivery robots
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field inspection robots
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Prompt format
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Output must be exactly one token
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coherent or incoherent
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