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| cff-version: 1.2.0 | |
| message: "If you use haptal-curate in your research, please cite it as below." | |
| type: software | |
| title: "haptal-curate: Quality Scoring and Curation for Robot Demonstration Datasets" | |
| version: 0.1.0 | |
| date-released: "2026-06-10" | |
| url: "https://github.com/haptal-ai/haptal-curate" | |
| license: MIT | |
| authors: | |
| - family-names: Bedi | |
| given-names: Aarav | |
| email: aarav@haptal.ai | |
| affiliation: Haptal AI | |
| keywords: | |
| - robotics | |
| - imitation learning | |
| - dataset curation | |
| - quality metrics | |
| - demonstration datasets | |
| abstract: >- | |
| haptal-curate is a Python package for automated quality scoring and curation | |
| of robot demonstration datasets. It provides a modular suite of quality | |
| metrics (smoothness, gripper timing, entropy, isolation forest, k-NN, | |
| trajectory alignment, and a weighted ensemble), phase-gated scoring for | |
| manipulation tasks, and automatic length-confound detection via Spearman rank | |
| correlation. | |
| references: | |
| - type: article | |
| title: "SPARC: An appropriate smoothness measure for robotic paths" | |
| authors: | |
| - family-names: Balasubramanian | |
| given-names: Sivakumar | |
| journal: IEEE Robotics and Automation Letters | |
| year: 2015 | |
| - type: software | |
| title: "LIBERO: Benchmarking Knowledge Transfer in Lifelong Robot Learning" | |
| authors: | |
| - family-names: Liu | |
| given-names: Bo | |
| year: 2023 | |
| url: "https://github.com/Lifelong-Robot-Learning/LIBERO" | |