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 Distribution
Built Distribution
Hashes for mani_skill2-0.6.0.dev2-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 291c66a520a510ebac2f5e26fda57642674abd5bc157c4a1cec9de6b778dc500 |
|
MD5 | 1c74553a32bf564af0800e85a248ce8f |
|
BLAKE2b-256 | 2dede016c10e1b9b3a01e553f1024c24da5e9f9dc99f502268164bb94f359747 |