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Isaac Lab is an open-source modular robotics learning framework built atop Isaac Sim. It simplifies research workflows across reinforcement learning, imitation learning, and motion planning by offering robust, GPU-accelerated simulation with realistic sensor and physics fidelity—ideal for sim-to-real robot training. Compatible and optimized for use with Isaac Sim versions (e.g., Sim 5.0 and 4.5). GPU-accelerated, high-fidelity physics and sensor simulation suitable for complex learning tasks. Offers a variety of robotic environment simulations on both Linux and Windows.
Features
- GPU-accelerated, high-fidelity physics and sensor simulation suitable for complex learning tasks
- Designed specifically for sim-to-real transfer workflows
- Compatible and optimized for use with Isaac Sim versions (e.g., Sim 5.0 and 4.5)
- Provides tutorial-driven Python scripting examples to guide setup and usage
- Dual installation options: binaries/source or via pip for flexibility
- Offers a variety of robotic environment simulations on both Linux and Windows
Project Samples
