aaronngx/failbench-robocasa-v2

FailBench RoboCasa v2 — contact-prediction dataset Labeled robot-failure trials built on RoboCasa kitchen demos (PandaMobile / Franka). Each trial injects a hardware failure partway through a teleop/MimicGen demo, then records the contacts the failure causes during a 1-second settle. The supervised target is a 240×320 force-weighted contact heatmap in the agentview camera — the model learns to predict where a failure at a given pre-failure configuration will drive the… See the full description on the dataset page: https://huggingface.co/datasets/aaronngx/failbench-robocasa-v2.

<iframe src="https://silytics.si/embed/item/d479f05f-c38e-4cb1-8a47-629e5a7357d0" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 18 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.