ManiSkill2: A Unified Benchmark for Generalizable Manipulation Skills
Project description
ManiSkill2 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 vision-based reinforcement learning, imitation learning, sense-plan-act, etc.
Please refer our documentation to learn more information.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distributions
Built Distribution
Hashes for mani_skill2-0.4.2-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | c724acb9e5856689e002a430100ae2b6bb40ca8db4dfd3f22b01d096fe18562a |
|
MD5 | 48216c4cc32e82a1651e675d9a8b171a |
|
BLAKE2b-256 | bdf427614b5e814cc55b1a9589ff7b84853a930924b539596cc5e72c0cecaa1a |