haosulab/ManiSkill
ManiSkill Data ManiSkill is a unified benchmark for learning generalizable robotic manipulation skills powered by SAPIEN. It features 20 out-of-box task families with 2000+ diverse object models and 4M+ demonstration frames. Moreover, it empowers fast visual input learning algorithms so that a CNN-based policy can collect samples at about 2000 FPS with 1 GPU and 16 processes on a workstation. The benchmark can be used to study a wide range of algorithms: 2D & 3D… See the full description on the dataset page: https://huggingface.co/datasets/haosulab/ManiSkill.
| Author / organization | haosulab |
|---|---|
| License (as declared) | apache-2.0 |
| Downloads | 560 (as reported by Hugging Face) |
| Likes | 4 |
| Created | 8 March 2024 |
| Last updated at source | 15 March 2024 |
Recent changes
- 16 Oct 2026 Description: ManiSkill Data ManiSkill is a unified benchmark for learning generalizable robotic manipulation skills powered by SAPIEN. It features 20 out-of-box task families with 2000+ diverse object models and 4M+ demonstration frames. Moreover, it em → ManiSkill Data ManiSkill is a unified benchmark for learning generalizable robotic manipulation skills powered by SAPIEN. It features 20 out-of-box task families with 2000+ diverse object models and 4M+ demonstration frames. Moreover, it em
Changes detected by Silytics between refreshes of the source.
More from haosulab
- haosulab/ReplicaCADDataset
- haosulab/ManiSkill_DemonstrationsDataset
- haosulab/ManiSkill2Dataset
- haosulab/ManiSkill_bridge_v2_real2simDataset
- haosulab/RoboCasaDataset
- haosulab/AI2THORDataset
Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 16 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.