Unverified Commit d603b67f authored by Kelly Guo's avatar Kelly Guo Committed by GitHub

Updates code for release 1.3.0 (#1444)

# Description

Updates code for release 1.3.0

---------
Signed-off-by: 's avatarKelly Guo <kellyg@nvidia.com>
Co-authored-by: 's avatarDavid Hoeller <dhoeller@nvidia.com>
parent b3ecfe3d
...@@ -13,13 +13,28 @@ ...@@ -13,13 +13,28 @@
[![License](https://img.shields.io/badge/license-BSD--3-yellow.svg)](https://opensource.org/licenses/BSD-3-Clause) [![License](https://img.shields.io/badge/license-BSD--3-yellow.svg)](https://opensource.org/licenses/BSD-3-Clause)
**Isaac Lab** is a unified and modular framework for robot learning that aims to simplify common workflows **Isaac Lab** is a GPU-accelerated, open-source framework designed to unify and simplify robotics research workflows, such as reinforcement learning, imitation learning, and motion planning. Built on [NVIDIA Isaac Sim](https://docs.omniverse.nvidia.com/isaacsim/latest/overview.html), it combines fast and accurate physics and sensor simulation, making it an ideal choice for sim-to-real transfer in robotics.
in robotics research (such as RL, learning from demonstrations, and motion planning). It is built upon
[NVIDIA Isaac Sim](https://docs.omniverse.nvidia.com/isaacsim/latest/overview.html) to leverage the latest Isaac Lab provides developers with a range of essential features for accurate sensor simulation, such as RTX-based cameras, LIDAR, or contact sensors. The framework's GPU acceleration enables users to run complex simulations and computations faster, which is key for iterative processes like reinforcement learning and data-intensive tasks. Moreover, Isaac Lab can run locally or be distributed across the cloud, offering flexibility for large-scale deployments.
simulation capabilities for photo-realistic scenes and fast and accurate simulation.
## Key Features
Isaac Lab offers a comprehensive set of tools and environments designed to facilitate robot learning:
- **Robots**: A diverse collection of robots, from manipulators, quadrupeds, to humanoids, with 16 commonly available models.
- **Environments**: Ready-to-train implementations of more than 30 environments, which can be trained with popular reinforcement learning frameworks such as RSL RL, SKRL, RL Games, or Stable Baselines. We also support multi-agent reinforcement learning.
- **Physics**: Rigid bodies, articulated systems, deformable objects
- **Sensors**: RGB/depth/segmentation cameras, camera annotations, IMU, contact sensors, ray casters.
## Getting Started
Our [documentation page](https://isaac-sim.github.io/IsaacLab) provides everything you need to get started, including detailed tutorials and step-by-step guides. Follow these links to learn more about:
- [Installation steps](https://isaac-sim.github.io/IsaacLab/main/source/setup/installation/index.html#local-installation)
- [Reinforcement learning](https://isaac-sim.github.io/IsaacLab/main/source/overview/reinforcement-learning/rl_existing_scripts.html)
- [Tutorials](https://isaac-sim.github.io/IsaacLab/main/source/tutorials/index.html)
- [Available environments](https://isaac-sim.github.io/IsaacLab/main/source/overview/environments.html)
Please refer to our [documentation page](https://isaac-sim.github.io/IsaacLab) to learn more about the
installation steps, features, tutorials, and how to set up your project with Isaac Lab.
## Contributing to Isaac Lab ## Contributing to Isaac Lab
......
...@@ -5,7 +5,7 @@ ...@@ -5,7 +5,7 @@
[package] [package]
title = "Isaac Lab Python Headless" title = "Isaac Lab Python Headless"
description = "An app for running Isaac Lab headlessly" description = "An app for running Isaac Lab headlessly"
version = "1.2.0" version = "1.3.0"
# That makes it browsable in UI with "experience" filter # That makes it browsable in UI with "experience" filter
keywords = ["experience", "app", "isaaclab", "python", "headless"] keywords = ["experience", "app", "isaaclab", "python", "headless"]
......
...@@ -9,7 +9,7 @@ ...@@ -9,7 +9,7 @@
[package] [package]
title = "Isaac Lab Python Headless Camera" title = "Isaac Lab Python Headless Camera"
description = "An app for running Isaac Lab headlessly with rendering enabled" description = "An app for running Isaac Lab headlessly with rendering enabled"
version = "1.2.0" version = "1.3.0"
# That makes it browsable in UI with "experience" filter # That makes it browsable in UI with "experience" filter
keywords = ["experience", "app", "isaaclab", "python", "camera", "minimal"] keywords = ["experience", "app", "isaaclab", "python", "camera", "minimal"]
......
...@@ -5,7 +5,7 @@ ...@@ -5,7 +5,7 @@
[package] [package]
title = "Isaac Lab Python" title = "Isaac Lab Python"
description = "An app for running Isaac Lab" description = "An app for running Isaac Lab"
version = "1.2.0" version = "1.3.0"
# That makes it browsable in UI with "experience" filter # That makes it browsable in UI with "experience" filter
keywords = ["experience", "app", "usd"] keywords = ["experience", "app", "usd"]
......
...@@ -9,7 +9,7 @@ ...@@ -9,7 +9,7 @@
[package] [package]
title = "Isaac Lab Python Camera" title = "Isaac Lab Python Camera"
description = "An app for running Isaac Lab with rendering enabled" description = "An app for running Isaac Lab with rendering enabled"
version = "1.2.0" version = "1.3.0"
# That makes it browsable in UI with "experience" filter # That makes it browsable in UI with "experience" filter
keywords = ["experience", "app", "isaaclab", "python", "camera", "minimal"] keywords = ["experience", "app", "isaaclab", "python", "camera", "minimal"]
......
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