Launching MOV.AI Flow™

To launch MOV.AI Flow™ –

  1. Launch MOV.AI Flow™ by clicking the icon. A terminal displays that start downloading the required components for launching MOV.AI Flow™. This may take some time depending on your Internet speed –



For better debugging, you can launch MOV.AI Flow™ directly from your terminal by typing movai-flow-launch.

  1. Here you have to choose between the two modes of operation, host network and isolated network. You can find more details about these two modes here. If you want to choose the host network mode, type in the option of n and press the Enter button. If you need the isolated network mode, either press the Enter button or type in Y.


Host mode IP address

If you have chosen to run in the host network mode, then in the next step the installer will prompt to confirm the network IP address that you wish to use. If the IP address mentioned in the prompt is not correct, you can type in the correct one and press Enter.

The packages start installing in the background. A browser pointing at <http://localhost:8080/api/v1/apps/mov-fe-app-ide-ce/> is displayed while you wait –

After a while, the following login screen displays –

  1. Enter the default username and password, which is movai and movai. Click the LOGIN button. The following displays –

Getting Started with the IDE

For for a full description of the MOV.AI Flow™ IDE, see Introducing the MOV.AI Flow™ IDE.

Briefly, the IDE displays a left pane where you can explore and edit several existing Nodes and Flows. On the top bar, the IDE shows the list of tabs currently opened. The "Get Started tab is open by default the first time you use MOV.AI Flow.

The Get Started tab shows a pane with relevant links, and the list of recently opened documents.
On the right, is an Examples pane containing a box for each ready-made project-demonstration of MOV.AI Flow, which you can open, investigate and use as the basis of your projects.

These examples operate in a warehouse environment. Each flow builds upon the previous one in order to demonstrate how a complete implementation can be created on any robot of your choice. Each demonstration describes how to play (run) it in the simulated environment provided by MOV.AI, as well as to open each flow and view/modify its definitions. You can also use the flows provided here as the basis for your own project or change them to suit any robot that you are developing in the virtual or the real world.