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Copy file name to clipboardExpand all lines: docs/demos/manipulation.md
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@@ -87,23 +87,37 @@ manipulation techniques.
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#### 1. Setting up the demo
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1. Set up docker as outlined in the [docker setup guide](../setup/setup_docker.md). During the setup, build the docker image with all dependencies (i.e., use the `--build-arg DEPENDENCIES=all_groups` argument)
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and configure communication between the container and the host ([link](../setup/setup_docker.md#2-set-up-communications-between-docker-and-host-optional)).
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1. Set up docker as outlined in the [docker setup guide](../setup/setup_docker.md). During the setup, build the docker image with all dependencies (i.e., use the `--build-arg DEPENDENCIES=all_groups` argument)
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and configure communication between the container and the host ([link](../setup/setup_docker.md#2-set-up-communications-between-docker-and-host-optional)).
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2. On the host machine, download the latest binary release for the Robotic Arm Demo:
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2. On the host machine, download the latest binary release for the Robotic Arm Demo:
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```shell
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./scripts/download_demo.sh manipulation
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```
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3. (Inside the container shell) Download additional ROS 2 dependencies:
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3. Run the docker container (if not already running):
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```shell
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docker run --net=host --ipc=host --pid=host -e ROS_DOMAIN_ID=$ROS_DOMAIN_ID -it rai:jazzy # or rai:humble
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```
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!!! tip "NVIDIA GPU acceleration"
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If the [NVIDIA Container Toolkit](https://docs.nvidia.com/datacenter/cloud-native/container-toolkit/latest/install-guide.html) is set up on your host machine, you can use the GPU within the RAI docker container for faster inference by adding the `--gpus all` option:
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```shell
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docker run --net=host --ipc=host --pid=host -e ROS_DOMAIN_ID=$ROS_DOMAIN_ID --gpus all -it rai:jazzy # or rai:humble
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```
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4. (Inside the container shell) Download additional ROS 2 dependencies:
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