ManiSkill
ManiSkill is an open-source GPU-parallel robotic simulation and training framework.
- Type
- Agent Skill
- Open source
- Yes
- GitHub Stars
- ★ 3.0k
- Source
- skill-github
- Repository
- github.com/mani-skill/ManiSkill
Overview
ManiSkill is an open-source framework based on SAPIEN, focused on robotic manipulation skills. It supports GPU-parallel visual data collection, GPU-parallel simulation, and heterogeneous simulation. The framework provides various task examples involving different types of robots and tasks, along with a flexible task construction API. ManiSkill also enables policy deployment from simulation to the real world. Users can install ManiSkill via pip and set up Vulkan for rendering. It is suitable for researchers and developers needing robotic simulation and training.
Capabilities
- ▪GPU-parallel visual data collection
- ▪GPU-parallel simulation
- ▪Heterogeneous simulation
- ▪Multiple robot and task examples
- ▪Flexible task construction API
- ▪Policy deployment from simulation to the real world
Use cases
Setup
pip install --upgrade mani_skill && pip install torch && set up Vulkan rendering environment
This information was compiled by AI from public sources and may contain inaccuracies — please refer to the source.
FAQ
What systems does ManiSkill support?
Currently primarily supports Linux and NVIDIA GPUs; Windows and MacOS support is limited.
How do I get started with ManiSkill?
Please refer to the quick start documentation or Colab notebooks.
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