Repository
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LeRobot · huggingface
LeRobot tools for robot control, datasets and end-to-end learning.
Robot learning frameworks
Benchmarks / Research
faultline · amanshah0729
Faultline studies LIBERO policy robustness using perturbation and ablation workflows.
Overview
Faultline studies LIBERO policy robustness using perturbation and ablation workflows.
Publisher summary: “Measuring what a LIBERO success rate hides. Perturbation + ablation harness, 4 policies, ~2,000 rollouts, one laptop, no CUDA.”
Use its repository to inspect the implementation, documentation and supported workflows. This directory record identifies the maintainer, code license and related resources; it does not claim that the project has been installed or tested on your robot.
Project information
- Maintainer
- amanshah0729
- Primary language
- Python
- Repository code license
- Not specified
- Model-weight license
- Not recorded
- Dataset license
- Not recorded
- Hardware design license
- Not recorded
- Maintenance
- Not archived in the last recorded metadata
- Last observed repository push
- 2026-08-14
Code licenses do not automatically cover model weights, datasets or hardware designs. Unrecorded license details require confirmation with the publisher.
Documentation sections
- Faultline
- Why this matters
- Result 1 — the benchmark cannot distinguish policies that are not close
- Result 2 — these policies ignore inputs they are assumed to use
- Result 3 — the most damaging perturbation is the worst one for comparing policies
- What is and isn't new here
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