isaaclab安装教程ubuntu20.04

### IsaacLab Installation Guide for Ubuntu 20.04 For installing IsaacLab on an Ubuntu 20.04 system, a series of preparatory steps must be completed to ensure compatibility and functionality. #### Preparing the System Environment Ensure that all necessary software is installed as described in tutorials covering essential installations for Ubuntu 20.04[^2]. This includes setting up the correct time zone, configuring input methods such as Sogou Pinyin, deploying Anaconda for Python development environments, using Terminator terminal emulator, ensuring Nvidia drivers are properly set up which is crucial since IsaacLab relies heavily on GPU acceleration capabilities provided by Nvidia hardware. #### Installing CUDA Toolkit Since IsaacLab requires CUDA support, follow guidelines similar to those outlined for WSL 2 but adapted specifically for native Linux distributions like Ubuntu 20.04[^4]. Install the appropriate version of the CUDA toolkit compatible with your graphics card model through either package managers or direct downloads from Nvidia's official website. ```bash sudo apt-get update && sudo apt-get install cuda ``` After installation completes successfully, verify it works correctly: ```bash nvcc --version ``` #### Setting Up cuDNN Following successful setup of CUDA, proceed to configure cuDNN according to instructions found within documentation related to Autoware environment configuration under Ubuntu 20.04[^3]: Download `libcudnn8` and its developer library corresponding to the chosen CUDA version before executing commands below: ```bash sudo dpkg -i libcudnn8_*.deb sudo dpkg -i libcudnn8-dev_*.deb ``` Confirm proper integration via running tests included inside sample directories bundled alongside cuDNN packages. #### Obtaining and Configuring IsaacLab Once prerequisites have been met, obtain access rights to download IsaacSim/IsaacLab SDK directly from Nvidia’s developer portal after registering there first if not done already. Follow detailed guides available online regarding unpacking archives, placing files into designated locations while adhering closely to any specific requirements mentioned during this process concerning dependencies management tools used throughout projects built around Omniverse platform components including IsaacLab itself. Finally, customize settings based upon personal preferences or project needs following post-installation procedures recommended officially by developers behind these applications. --related questions-- 1. What versions of CUDA should one choose when preparing their machine learning workstation? 2. How does adjusting system locale affect non-English speaking users' experiences on fresh installs of Ubuntu-based systems? 3. Can you explain how to troubleshoot common issues encountered after updating Nvidia drivers on Linux machines? 4. In what ways can integrating Jupyter notebooks enhance productivity within data science workflows conducted over Conda-managed virtual environments? 5. Are there alternative text editors besides Vim/GNU Emacs suitable for beginners who wish to write scripts efficiently without steep learning curves?