CLARU
lijinghaicc-by-4.0

RabbitRobot VLN Recovery Mini

A mini dataset and schema for vision-language navigation (VLN) recovery in autonomous mobile robots (AMRs), containing 10 public episodes with task descriptions, anomaly types, observable signals, and recovery strategy labels for real ROS 2 robot engineering.

Downloads0
Episodes10

Why This Matters for Physical AI

This dataset demonstrates real-world VLN challenges including yaw detection, goal ambiguity, local obstacle avoidance, and recovery strategies in closed-loop navigation with ROS 2, bridging language understanding with robot execution constraints and state feedback.

Technical Profile

Modalities
visionlanguage
Robot Embodiments
AMRmobile_manipulator
Environment
labindoor
Task Types
navigationvision-language-navigationrecovery
Episodes
10
Data Format
jsonl
Annotation Types
language_instructionsaction_labelstask_cards
License
cc-by-4.0
Part of the RabbitRobot Open Robot Assets family

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