Amazon RoboMaker examples using Amazon CLI - Amazon Command Line Interface
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Amazon RoboMaker examples using Amazon CLI

The following code examples show you how to perform actions and implement common scenarios by using the Amazon Command Line Interface with Amazon RoboMaker.

Actions are code excerpts from larger programs and must be run in context. While actions show you how to call individual service functions, you can see actions in context in their related scenarios.

Each example includes a link to the complete source code, where you can find instructions on how to set up and run the code in context.

Topics

Actions

The following code example shows how to use batch-describe-simulation-job.

Amazon CLI

To batch describe simulation jobs

The following batch-describe-simulation-job example retrieves details for the three specified simulation jobs.

Command:

aws robomaker batch-describe-simulation-job \
--job arn:aws:robomaker:us-west-2:111111111111:simulation-job/sim-66bbb3gpxm8x arn:aws:robomaker:us-west-2:111111111111:simulation-job/sim-p0cpdrrwng2n arn:aws:robomaker:us-west-2:111111111111:simulation-job/sim-g8h6tglmblgw

Output:

{
    "jobs": [
        {
            "arn": "arn:aws:robomaker:us-west-2:111111111111:simulation-job/sim-66bbb3gpxm8x",
            "status": "Completed",
            "lastUpdatedAt": 1548959178.0,
            "failureBehavior": "Continue",
            "clientRequestToken": "6020408e-b05c-4310-9f13-4ed71c5221ed",
            "outputLocation": {
                "s3Bucket": "awsrobomakerobjecttracker-111111111-bundlesbucket-2lk584kiq1oa",
                "s3Prefix": "output"
            },
            "maxJobDurationInSeconds": 3600,
            "simulationTimeMillis": 0,
            "iamRole": "arn:aws:iam::111111111111:role/AWSRoboMakerObjectTracker-154895-SimulationJobRole-14D5ASA7PQE3A",
            "simulationApplications": [
                {
                    "application": "arn:aws:robomaker:us-west-2:111111111111:simulation-application/AWSRoboMakerObjectTracker-1548959046124_NPvyfcatq/1548959170096",
                    "applicationVersion": "$LATEST",
                    "launchConfig": {
                        "packageName": "object_tracker_simulation",
                        "launchFile": "local_training.launch",
                        "environmentVariables": {
                            "MARKOV_PRESET_FILE": "object_tracker.py",
                            "MODEL_S3_BUCKET": "awsrobomakerobjecttracker-111111111-bundlesbucket-2lk584kiq1oa",
                            "MODEL_S3_PREFIX": "model-store",
                            "ROS_AWS_REGION": "us-west-2"
                        }
                    }
                }
            ],
            "tags": {},
            "vpcConfig": {
                "subnets": [
                    "subnet-716dd52a",
                    "subnet-43c22325",
                    "subnet-3f526976"
                ],
                "securityGroups": [
                    "sg-3fb40545"
                ],
                "vpcId": "vpc-99895eff",
                "assignPublicIp": true
            }
        },
        {
            "arn": "arn:aws:robomaker:us-west-2:111111111111:simulation-job/sim-p0cpdrrwng2n",
            "status": "Completed",
            "lastUpdatedAt": 1548168817.0,
            "failureBehavior": "Continue",
            "clientRequestToken": "e4a23e75-f9a7-411d-835f-21881c82c58b",
            "outputLocation": {
                "s3Bucket": "awsrobomakercloudwatch-111111111111-bundlesbucket-14e5s9jvwtmv7",
                "s3Prefix": "output"
            },
            "maxJobDurationInSeconds": 3600,
            "simulationTimeMillis": 0,
            "iamRole": "arn:aws:iam::111111111111:role/AWSRoboMakerCloudWatch-154766341-SimulationJobRole-G0OBWTQ8YBG6",
            "robotApplications": [
                {
                    "application": "arn:aws:robomaker:us-west-2:111111111111:robot-application/AWSRoboMakerCloudWatch-1547663411642_NZbpqEJ3T/1547663517377",
                    "applicationVersion": "$LATEST",
                    "launchConfig": {
                        "packageName": "cloudwatch_robot",
                        "launchFile": "await_commands.launch",
                        "environmentVariables": {
                            "LAUNCH_ID": "1548168752173",
                            "ROS_AWS_REGION": "us-west-2"
                        }
                    }
                }
            ],
            "simulationApplications": [
                {
                    "application": "arn:aws:robomaker:us-west-2:111111111111:simulation-application/AWSRoboMakerCloudWatch-1547663411642_0LIt6D1h6/1547663521470",
                    "applicationVersion": "$LATEST",
                    "launchConfig": {
                        "packageName": "cloudwatch_simulation",
                        "launchFile": "bookstore_turtlebot_navigation.launch",
                        "environmentVariables": {
                            "LAUNCH_ID": "1548168752173",
                            "ROS_AWS_REGION": "us-west-2",
                            "TURTLEBOT3_MODEL": "waffle_pi"
                        }
                    }
                }
            ],
            "tags": {},
            "vpcConfig": {
                "subnets": [
                    "subnet-716dd52a",
                    "subnet-43c22325",
                    "subnet-3f526976"
                ],
                "securityGroups": [
                    "sg-3fb40545"
                ],
                "vpcId": "vpc-99895eff",
                "assignPublicIp": true
            }
        },
        {
            "arn": "arn:aws:robomaker:us-west-2:111111111111:simulation-job/sim-g8h6tglmblgw",
            "status": "Canceled",
            "lastUpdatedAt": 1546543442.0,
            "failureBehavior": "Fail",
            "clientRequestToken": "d796bbb4-2a2c-1abc-f2a9-0d9e547d853f",
            "outputLocation": {
                "s3Bucket": "sample-bucket",
                "s3Prefix": "SimulationLog_115490482698"
            },
            "maxJobDurationInSeconds": 28800,
            "simulationTimeMillis": 0,
            "iamRole": "arn:aws:iam::111111111111:role/RoboMakerSampleTheFirst",
            "robotApplications": [
                {
                    "application": "arn:aws:robomaker:us-west-2:111111111111:robot-application/RoboMakerHelloWorldRobot/1546541208251",
                    "applicationVersion": "$LATEST",
                    "launchConfig": {
                        "packageName": "hello_world_robot",
                        "launchFile": "rotate.launch"
                    }
                }
            ],
            "simulationApplications": [
                {
                    "application": "arn:aws:robomaker:us-west-2:111111111111:simulation-application/RoboMakerHelloWorldSimulation/1546541198985",
                    "applicationVersion": "$LATEST",
                    "launchConfig": {
                        "packageName": "hello_world_simulation",
                        "launchFile": "empty_world.launch"
                    }
                }
            ],
            "tags": {}
        }
    ],
    "unprocessedJobs": []
}

The following code example shows how to use cancel-simulation-job.

Amazon CLI

To cancel a simulation job

The following cancel-simulation-job example cancels the specified simulation job.

aws robomaker cancel-simulation-job \
    --job arn:aws:robomaker:us-west-2:111111111111:simulation-job/sim-66bbb3gpxm8x

The following code example shows how to use create-deployment-job.

Amazon CLI

To create a deployment job

This example creates a deployment job for fleet MyFleet. It includes an environment variable named "ENVIRONMENT". It also attaches a tag named "Region".

Command:

aws robomaker create-deployment-job --deployment-config concurrentDeploymentPercentage=20,failureThresholdPercentage=25 --fleet arn:aws:robomaker:us-west-2:111111111111:deployment-fleet/Trek/1539894765711 --tags Region=West --deployment-application-configs application=arn:aws:robomaker:us-west-2:111111111111:robot-application/RoboMakerVoiceInteractionRobot/1546537110575,applicationVersion=1,launchConfig={environmentVariables={ENVIRONMENT=Beta},launchFile=await_commands.launch,packageName=voice_interaction_robot}

Output:

{
  "arn": "arn:aws:robomaker:us-west-2:111111111111:deployment-job/sim-0974h36s4v0t",
  "fleet": "arn:aws:robomaker:us-west-2:111111111111:deployment-fleet/MyFleet/1539894765711",
  "status": "Pending",
  "deploymentApplicationConfigs": [
      {
          "application": "arn:aws:robomaker:us-west-2:111111111111:robot-application/RoboMakerVoiceInteractionRobot/1546537110575",
          "applicationVersion": "1",
          "launchConfig": {
              "packageName": "voice_interaction_robot",
              "launchFile": "await_commands.launch",
              "environmentVariables": {
                  "ENVIRONMENT": "Beta"
              }
          }
      }
  ],
  "createdAt": 1550770236.0,
  "deploymentConfig": {
      "concurrentDeploymentPercentage": 20,
      "failureThresholdPercentage": 25
  },
  "tags": {
      "Region": "West"
  }
}

The following code example shows how to use create-fleet.

Amazon CLI

To create a fleet

This example creates a fleet. It attaches a tag named Region.

Command:

aws robomaker create-fleet --name MyFleet --tags Region=East

Output:

{
  "arn": "arn:aws:robomaker:us-west-2:111111111111:deployment-fleet/MyOtherFleet/1550771394395",
  "name": "MyFleet",
  "createdAt": 1550771394.0,
  "tags": {
      "Region": "East"
  }
}

  • For API details, see CreateFleet in Amazon CLI Command Reference.

The following code example shows how to use create-robot-application-version.

Amazon CLI

To create a robot application version

This example creates a robot application version.

Command:

aws robomaker create-robot-application-version --application arn:aws:robomaker:us-west-2:111111111111:robot-application/MyRobotApplication/1551201873931

Output:

{
  "arn": "arn:aws:robomaker:us-west-2:111111111111:robot-application/MyRobotApplication/1551201873931",
  "name": "MyRobotApplication",
  "version": "1",
  "sources": [
      {
          "s3Bucket": "amzn-s3-demo-bucket",
          "s3Key": "my-robot-application.tar.gz",
          "etag": "f8cf5526f1c6e7b3a72c3ed3f79c5493-70",
          "architecture": "ARMHF"
      }
  ],
  "robotSoftwareSuite": {
      "name": "ROS",
      "version": "Kinetic"
  },
  "lastUpdatedAt": 1551201873.0,
  "revisionId": "9986bb8d-a695-4ab4-8810-9f4a74d1aa00"
  "tags": {}
}

The following code example shows how to use create-robot-application.

Amazon CLI

To create a robot application

This example creates a robot application.

Command:

aws robomaker create-robot-application --name MyRobotApplication --sources s3Bucket=amzn-s3-demo-bucket,s3Key=my-robot-application.tar.gz,architecture=X86_64 --robot-software-suite name=ROS,version=Kinetic

Output:

{
  "arn": "arn:aws:robomaker:us-west-2:111111111111:robot-application/MyRobotApplication/1551201873931",
  "name": "MyRobotApplication",
  "version": "$LATEST",
  "sources": [
      {
          "s3Bucket": "amzn-s3-demo-bucket",
          "s3Key": "my-robot-application.tar.gz",
          "architecture": "ARMHF"
      }
  ],
  "robotSoftwareSuite": {
      "name": "ROS",
      "version": "Kinetic"
  },
  "lastUpdatedAt": 1551201873.0,
  "revisionId": "1f3cb539-9239-4841-a656-d3efcffa07e1",
  "tags": {}
}

The following code example shows how to use create-robot.

Amazon CLI

To create a robot

This example creates a robot. It uses the ARMHF architecture. It also attaches a tag named Region.

Command:

aws robomaker create-robot --name MyRobot --architecture ARMHF --greengrass-group-id 0f728a3c-7dbf-4a3e-976d-d16a8360caba --tags Region=East

Output:

{
  "arn": "arn:aws:robomaker:us-west-2:111111111111:robot/MyRobot/1550772324398",
  "name": "MyRobot",
  "createdAt": 1550772325.0,
  "greengrassGroupId": "0f728a3c-7dbf-4a3e-976d-d16a8360caba",
  "architecture": "ARMHF",
  "tags": {
      "Region": "East"
  }
}

  • For API details, see CreateRobot in Amazon CLI Command Reference.

The following code example shows how to use create-simulation-application-version.

Amazon CLI

To create a simulation application version

This example creates a robot application version.

Command:

aws robomaker create-simulation-application-version --application arn:aws:robomaker:us-west-2:111111111111:robot-application/MySimulationApplication/1551203427605

Output:

{
  "arn": "arn:aws:robomaker:us-west-2:111111111111:simulation-application/MyRobotApplication/1551203427605",
  "name": "MyRobotApplication",
  "version": "1",
  "sources": [
      {
          "s3Bucket": "amzn-s3-demo-bucket",
          "s3Key": "my-simulation-application.tar.gz",
          "etag": "00d8a94ff113856688c4fce618ae0f45-94",
          "architecture": "X86_64"
      }
  ],
  "simulationSoftwareSuite": {
      "name": "Gazebo",
      "version": "7"
  },
  "robotSoftwareSuite": {
      "name": "ROS",
      "version": "Kinetic"
  },
  "renderingEngine": {
      "name": "OGRE",
      "version": "1.x"
  },
 "lastUpdatedAt": 1551203853.0,
  "revisionId": "ee753e53-519c-4d37-895d-65e79bcd1914",
  "tags": {}
}

The following code example shows how to use create-simulation-application.

Amazon CLI

To create a simulation application

This example creates a simulation application.

Command:

aws robomaker create-simulation-application  --name MyRobotApplication --sources s3Bucket=amzn-s3-demo-bucket,s3Key=my-simulation-application.tar.gz,architecture=ARMHF --robot-software-suite name=ROS,version=Kinetic --simulation-software-suite name=Gazebo,version=7 --rendering-engine name=OGRE,version=1.x

Output:

{
  "arn": "arn:aws:robomaker:us-west-2:111111111111:simulation-application/MyRobotApplication/1551203301792",
  "name": "MyRobotApplication",
  "version": "$LATEST",
  "sources": [
      {
          "s3Bucket": "amzn-s3-demo-bucket",
          "s3Key": "my-simulation-application.tar.gz",
          "architecture": "X86_64"
      }
  ],
  "simulationSoftwareSuite": {
      "name": "Gazebo",
      "version": "7"
  },
  "robotSoftwareSuite": {
      "name": "ROS",
      "version": "Kinetic"
  },
  "renderingEngine": {
      "name": "OGRE",
      "version": "1.x"
  },
  "lastUpdatedAt": 1551203301.0,
  "revisionId": "ee753e53-519c-4d37-895d-65e79bcd1914",
  "tags": {}
}

The following code example shows how to use create-simulation-job.

Amazon CLI

To create a simulation job

This example creates a simulation job. It uses a robot application and a simulation application.

Command:

aws robomaker create-simulation-job --max-job-duration-in-seconds 3600 --iam-role arn:aws:iam::111111111111:role/AWSRoboMakerCloudWatch-154766341-SimulationJobRole-G0OBWTQ8YBG6 --robot-applications application=arn:aws:robomaker:us-west-2:111111111111:robot-application/MyRobotApplication/1551203485821,launchConfig={packageName=hello_world_robot,launchFile=rotate.launch} --simulation-applications application=arn:aws:robomaker:us-west-2:111111111111:simulation-application/MySimulationApplication/1551203427605,launchConfig={packageName=hello_world_simulation,launchFile=empty_world.launch} --tags Region=North

Output:

{
  "arn": "arn:aws:robomaker:us-west-2:111111111111:simulation-job/sim-w7m68wpr05h8",
  "status": "Pending",
  "lastUpdatedAt": 1551213837.0,
  "failureBehavior": "Fail",
  "clientRequestToken": "b283ccce-e468-43ee-8642-be76a9d69f15",
  "maxJobDurationInSeconds": 3600,
  "simulationTimeMillis": 0,
  "iamRole": "arn:aws:iam::111111111111:role/MySimulationRole",
  "robotApplications": [
      {
          "application": "arn:aws:robomaker:us-west-2:111111111111:robot-application/MyRobotApplication/1551203485821",
          "applicationVersion": "$LATEST",
          "launchConfig": {
              "packageName": "hello_world_robot",
              "launchFile": "rotate.launch"
          }
      }
  ],
  "simulationApplications": [
      {
          "application": "arn:aws:robomaker:us-west-2:111111111111:simulation-application/MySimulationApplication/1551203427605",
          "applicationVersion": "$LATEST",
          "launchConfig": {
              "packageName": "hello_world_simulation",
              "launchFile": "empty_world.launch"
          }
      }
  ],
  "tags": {
      "Region": "North"
  }
}

The following code example shows how to use delete-fleet.

Amazon CLI

To delete a fleet

This example deletes a fleet.

Command:

aws robomaker delete-fleet --fleet arn:aws:robomaker:us-west-2:111111111111:deployment-fleet/MyFleet/1550771394395

  • For API details, see DeleteFleet in Amazon CLI Command Reference.

The following code example shows how to use delete-robot-application.

Amazon CLI

To delete a robot application

This example deletes a robot application.

Command:

aws robomaker delete-robot-application --application arn:aws:robomaker:us-west-2:111111111111:robot-application/MyRobotApplication/1551203485821

The following code example shows how to use delete-robot.

Amazon CLI

To delete a robot

This example deletes a robot.

Command:

aws robomaker delete-robot --robot arn:aws:robomaker:us-west-2:111111111111:robot/MyRobot/1540829698778

  • For API details, see DeleteRobot in Amazon CLI Command Reference.

The following code example shows how to use delete-simulation-application.

Amazon CLI

To delete a simulation application

This example deletes a simulation application.

Command:

aws robomaker delete-simulation-application --application arn:aws:robomaker:us-west-2:111111111111:simulation-application/MySimulationApplication/1551203427605

The following code example shows how to use deregister-robot.

Amazon CLI

To deregister a robot from a fleet

This example deregisters a robot from a fleet.

Command:

aws robomaker deregister-robot --fleet arn:aws:robomaker:us-west-2:111111111111:deployment-fleet/MyFleet/1550771358907 --robot arn:aws:robomaker:us-west-2:111111111111:robot/MyRobot/1550772324398

Output:

{
  "fleet": "arn:aws:robomaker:us-west-2:111111111111:deployment-fleet/MyFleet/1550771358907",
  "robot": "arn:aws:robomaker:us-west-2:111111111111:robot/MyRobot/1550772324398"
}

The following code example shows how to use describe-deployment-job.

Amazon CLI

To describe a deployment job

The following describe-deployment-job example retrieves the details about the specified deployment job.

aws robomaker describe-deployment-job \
    --job arn:aws:robomaker:us-west-2:111111111111:deployment-job/deployment-xl8qssl6pbcn

Output:

{
    "arn": "arn:aws:robomaker:us-west-2:111111111111:deployment-job/deployment-xl8qssl6pbcn",
    "fleet": "arn:aws:robomaker:us-west-2:111111111111:deployment-fleet/Trek/1539894765711",
    "status": "InProgress",
    "deploymentConfig": {
        "concurrentDeploymentPercentage": 20,
        "failureThresholdPercentage": 25
    },
    "deploymentApplicationConfigs": [
        {
            "application": "arn:aws:robomaker:us-west-2:111111111111:robot-application/RoboMakerHelloWorldRobot/1546541208251",
            "applicationVersion": "1",
            "launchConfig": {
                "packageName": "hello_world_robot",
                "launchFile": "rotate.launch"
            }
        }
    ],
    "createdAt": 1551218369.0,
    "robotDeploymentSummary": [
        {
            "arn": "arn:aws:robomaker:us-west-2:111111111111:robot/MyRobot/1540834232469",
            "deploymentStartTime": 1551218376.0,
            "status": "Deploying",
            "progressDetail": {}
        }
    ],
    "tags": {}
}

The following code example shows how to use describe-fleet.

Amazon CLI

To describe a fleet

The following describe-fleet example retrieves the details for the specified fleet.

aws robomaker describe-fleet \
    --fleet arn:aws:robomaker:us-west-2:111111111111:deployment-fleet/MyFleet/1550771358907

Output:

{
    "name": "MyFleet",
    "arn": "arn:aws:robomaker:us-west-2:111111111111:deployment-fleet/MyFleet/1539894765711",
    "robots": [
        {
            "arn": "arn:aws:robomaker:us-west-2:111111111111:robot/MyRobot/1540834232469",
            "createdAt": 1540834232.0
        },
        {
            "arn": "arn:aws:robomaker:us-west-2:111111111111:robot/MyOtherRobot/1540829698778",
            "createdAt": 1540829698.0
        }
    ],
    "createdAt": 1539894765.0,
    "lastDeploymentStatus": "Succeeded",
    "lastDeploymentJob": "arn:aws:robomaker:us-west-2:111111111111:deployment-job/deployment-xl8qssl6pbcn",
    "lastDeploymentTime": 1551218369.0,
    "tags": {}
}

  • For API details, see DescribeFleet in Amazon CLI Command Reference.

The following code example shows how to use describe-robot-application.

Amazon CLI

To describe a robot application

This example describes a robot application.

Command:

aws robomaker describe-robot-application --application arn:aws:robomaker:us-west-2:111111111111:robot-application/MyRobotApplication/1551203485821

Output:

{
  "arn": "arn:aws:robomaker:us-west-2:111111111111:robot-application/MyRobotApplication/1551203485821",
  "name": "MyRobotApplication",
  "version": "$LATEST",
  "sources": [
      {
          "s3Bucket": "amzn-s3-demo-bucket",
          "s3Key": "my-robot-application.tar.gz",
          "architecture": "X86_64"
      }
  ],
  "robotSoftwareSuite": {
      "name": "ROS",
      "version": "Kinetic"
  },
  "revisionId": "e72efe0d-f44f-4333-b604-f6fa5c6bb50b",
  "lastUpdatedAt": 1551203485.0,
  "tags": {}
}

The following code example shows how to use describe-robot.

Amazon CLI

To describe a robot

This example describes a robot.

Command:

aws robomaker describe-robot --robot arn:aws:robomaker:us-west-2:111111111111:robot/MyRobot/1550772324398

Output:

{
  "arn": "arn:aws:robomaker:us-west-2:111111111111:robot/MyRobot/1550772324398",
  "name": "MyRobot",
  "status": "Available",
  "greengrassGroupId": "0f728a3c-7dbf-4a3e-976d-d16a8360caba",
  "createdAt": 1550772325.0,
  "architecture": "ARMHF",
  "tags": {
      "Region": "East"
  }
}

  • For API details, see DescribeRobot in Amazon CLI Command Reference.

The following code example shows how to use describe-simulation-application.

Amazon CLI

To describe a simulation application

This example describes a simulation application.

Command:

aws robomaker describe-simulation-application --application arn:aws:robomaker:us-west-2:111111111111:simulation-application/MySimulationApplication/1551203427605

Output:

{
  "arn": "arn:aws:robomaker:us-west-2:111111111111:simulation-application/MySimulationApplication/1551203427605",
  "name": "MySimulationApplication",
  "version": "$LATEST",
  "sources": [
      {
          "s3Bucket": "amzn-s3-demo-bucket",
          "s3Key": "my-simulation-application.tar.gz",
          "architecture": "X86_64"
      }
  ],
  "simulationSoftwareSuite": {
      "name": "Gazebo",
      "version": "7"
  },
  "robotSoftwareSuite": {
      "name": "ROS",
      "version": "Kinetic"
  },
  "renderingEngine": {
      "name": "OGRE",
      "version": "1.x"
  },
  "revisionId": "783674ab-b7b8-42d9-b01f-9373907987e5",
  "lastUpdatedAt": 1551203427.0,
  "tags": {}
}

The following code example shows how to use describe-simulation-job.

Amazon CLI

To describe a simulation job

This example describes a simulation job.

Command:

aws robomaker describe-simulation-job --job arn:aws:robomaker:us-west-2:111111111111:simulation-job/sim-pql32v7pfjy6

Output:

{
  "arn": "arn:aws:robomaker:us-west-2:111111111111:simulation-job/sim-pql32v7pfjy6",
  "status": "Running",
  "lastUpdatedAt": 1551219349.0,
  "failureBehavior": "Continue",
  "clientRequestToken": "a19ec4b5-e50d-3591-33da-c2e593c60615",
  "outputLocation": {
      "s3Bucket": "my-output-bucket",
      "s3Prefix": "output"
  },
  "maxJobDurationInSeconds": 3600,
  "simulationTimeMillis": 0,
  "iamRole": "arn:aws:iam::111111111111:role/MySimulationRole",
  "robotApplications": [
      {
          "application": "arn:aws:robomaker:us-west-2:111111111111:robot-application/MyRobotApplication/1551206341136",
          "applicationVersion": "$LATEST",
          "launchConfig": {
              "packageName": "hello_world_robot",
              "launchFile": "rotate.launch"
          }
      }
  ],
  "simulationApplications": [
      {
          "application": "arn:aws:robomaker:us-west-2:111111111111:simulation-application/MySimulationApplication/1551206347967",
          "applicationVersion": "$LATEST",
          "launchConfig": {
              "packageName": "hello_world_simulation",
              "launchFile": "empty_world.launch"
          }
      }
  ],
  "tags": {}
}

The following code example shows how to use list-deployment-jobs.

Amazon CLI

To list deployment jobs

The following list-deployment-jobs example retrieves a list of deployment jobs.

aws robomaker list-deployment-jobs

Output:

{
    "deploymentJobs": [
        {
            "arn": "arn:aws:robomaker:us-west-2:111111111111:deployment-job/sim-6293szzm56rv",
            "fleet": "arn:aws:robomaker:us-west-2:111111111111:deployment-fleet/MyFleet/1539894765711",
            "status": "InProgress",
            "deploymentApplicationConfigs": [
                {
                    "application": "arn:aws:robomaker:us-west-2:111111111111:robot-application/HelloWorldRobot/1546537110575",
                    "applicationVersion": "1",
                    "launchConfig": {
                        "packageName": "hello_world_robot",
                        "launchFile": "rotate.launch",
                        "environmentVariables": {
                            "ENVIRONMENT": "Desert"
                        }
                    }
                }
            ],
            "deploymentConfig": {
                "concurrentDeploymentPercentage": 20,
                "failureThresholdPercentage": 25
            },
            "createdAt": 1550689373.0
        },
        {
            "arn": "arn:aws:robomaker:us-west-2:111111111111:deployment-job/deployment-4w4g69p25zdb",
            "fleet": "arn:aws:robomaker:us-west-2:111111111111:deployment-fleet/MyFleet/1539894765711",
            "status": "Pending",
            "deploymentApplicationConfigs": [
                {
                    "application": "arn:aws:robomaker:us-west-2:111111111111:robot-application/AWSRoboMakerHelloWorld-1544562726923_YGHM_sh5M/1544562822877",
                    "applicationVersion": "1",
                    "launchConfig": {
                        "packageName": "fail",
                        "launchFile": "fail"
                    }
                }
            ],
            "deploymentConfig": {
                "concurrentDeploymentPercentage": 20,
                "failureThresholdPercentage": 25
            },
            "failureReason": "",
            "failureCode": "",
            "createdAt": 1544719763.0
        }
    ]
}

The following code example shows how to use list-fleets.

Amazon CLI

To list fleets

This example lists fleets. A maximum of 20 fleets will be returned.

Command:

aws robomaker list-fleets --max-items 20

Output:

{
  "fleetDetails": [
      {
          "name": "Trek",
          "arn": "arn:aws:robomaker:us-west-2:111111111111:deployment-fleet/MyFleet/1539894765711",
          "createdAt": 1539894765.0,
          "lastDeploymentStatus": "Failed",
          "lastDeploymentJob": "arn:aws:robomaker:us-west-2:111111111111:deployment-job/deployment-4w4g69p25zdb",
          "lastDeploymentTime": 1544719763.0
      }
  ]
}

  • For API details, see ListFleets in Amazon CLI Command Reference.

The following code example shows how to use list-robot-applications.

Amazon CLI

To list robot applications

This example lists robot applications. Results are limited to 20 robot applications.

Command:

aws robomaker list-robot-applications --max-results 20

Output:

{
  "robotApplicationSummaries": [
      {
          "name": "MyRobot",
          "arn": "arn:aws:robomaker:us-west-2:111111111111:robot-application/MyRobot/1546537110575",
          "version": "$LATEST",
          "lastUpdatedAt": 1546540372.0
      },
      {
          "name": "AnotherRobot",
          "arn": "arn:aws:robomaker:us-west-2:111111111111:robot-application/AnotherRobot/1546541208251",
          "version": "$LATEST",
          "lastUpdatedAt": 1546541208.0
      },
      {
          "name": "MySuperRobot",
          "arn": "arn:aws:robomaker:us-west-2:111111111111:robot-application/MySuperRobot/1547663517377",
          "version": "$LATEST",
          "lastUpdatedAt": 1547663517.0
      }
  ]
}

The following code example shows how to use list-robots.

Amazon CLI

To list robots

This example lists robots. A maximum of 20 robots will be returned.

Command:

aws robomaker list-robots --max-results 20

Output:

{
  "robots": [
      {
          "arn": "arn:aws:robomaker:us-west-2:111111111111:robot/Robot100/1544035373264",
          "name": "Robot100",
          "status": "Available",
          "createdAt": 1544035373.0,
          "architecture": "X86_64"
      },
      {
          "arn": "arn:aws:robomaker:us-west-2:111111111111:robot/Robot101/1542146976587",
          "name": "Robot101",
          "status": "Available",
          "createdAt": 1542146976.0,
          "architecture": "X86_64"
      },
      {
          "arn": "arn:aws:robomaker:us-west-2:111111111111:robot/Robot102/1540834232469",
          "name": "Robot102",
          "fleetArn": "arn:aws:robomaker:us-west-2:111111111111:deployment-fleet/Trek/1539894765711",
          "status": "Available",
          "createdAt": 1540834232.0,
          "architecture": "X86_64",
          "lastDeploymentJob": "arn:aws:robomaker:us-west-2:111111111111:deployment-job/deployment-jb007b75gl5f",
          "lastDeploymentTime": 1550689533.0
      },
      {
          "arn": "arn:aws:robomaker:us-west-2:111111111111:robot/MyRobot/1540829698778",
          "name": "MyRobot",
          "status": "Registered",
          "createdAt": 1540829698.0,
          "architecture": "X86_64"
      }
  ]
}

  • For API details, see ListRobots in Amazon CLI Command Reference.

The following code example shows how to use list-simulation-applications.

Amazon CLI

To list simulation applications

This example lists simulation applications. A maximum of 20 simulation applications will be returned.

Command:

aws robomaker list-simulation-applications --max-results 20

Output:

{
  "simulationApplicationSummaries": [
      {
          "name": "AWSRoboMakerObjectTracker-1548959046124_NPvyfcatq",
          "arn": "arn:aws:robomaker:us-west-2:111111111111:simulation-application/AWSRoboMakerObjectTracker-1548959046124_NPvyfcatq/1548959170096",
          "version": "$LATEST",
          "lastUpdatedAt": 1548959170.0
      },
      {
          "name": "RoboMakerHelloWorldSimulation",
          "arn": "arn:aws:robomaker:us-west-2:111111111111:simulation-application/RoboMakerHelloWorldSimulation/1546541198985",
          "version": "$LATEST",
          "lastUpdatedAt": 1546541198.0
      },
      {
          "name": "RoboMakerObjectTrackerSimulation",
          "arn": "arn:aws:robomaker:us-west-2:111111111111:simulation-application/RoboMakerObjectTrackerSimulation/1545846795615",
          "version": "$LATEST",
          "lastUpdatedAt": 1545847405.0
      },
      {
          "name": "RoboMakerVoiceInteractionSimulation",
          "arn": "arn:aws:robomaker:us-west-2:111111111111:simulation-application/RoboMakerVoiceInteractionSimulation/1546537100507",
          "version": "$LATEST",
          "lastUpdatedAt": 1546540352.0
      },
      {
          "name": "AWSRoboMakerCloudWatch-1547663411642_0LIt6D1h6",
          "arn": "arn:aws:robomaker:us-west-2:111111111111:simulation-application/AWSRoboMakerCloudWatch-1547663411642_0LIt6D1h6/1547663521470",
          "version": "$LATEST",
          "lastUpdatedAt": 1547663521.0
      },
      {
          "name": "AWSRoboMakerDeepRacer-1545848257672_1YZCaieQ-",
          "arn": "arn:aws:robomaker:us-west-2:111111111111:simulation-application/AWSRoboMakerDeepRacer-1545848257672_1YZCaieQ-/1545848370525",
          "version": "$LATEST",
          "lastUpdatedAt": 1545848370.0
      }
  ]
}

The following code example shows how to use list-simulation-jobs.

Amazon CLI

To list simulation jobs

This example lists simulation jobs.

Command:

aws robomaker list-simulation-jobs

Output:

{
  "simulationJobSummaries": [
      {
          "arn": "arn:aws:robomaker:us-west-2:111111111111:simulation-job/sim-66bbb3gpxm8x",
          "lastUpdatedAt": 1548959178.0,
          "status": "Completed",
          "simulationApplicationNames": [
              "AWSRoboMakerObjectTracker-1548959046124_NPvyfcatq"
          ],
          "robotApplicationNames": [
              null
          ]
      },
      {
          "arn": "arn:aws:robomaker:us-west-2:111111111111:simulation-job/sim-b27c4rkrtzcw",
          "lastUpdatedAt": 1543514088.0,
          "status": "Canceled",
          "simulationApplicationNames": [
              "AWSRoboMakerPersonDetection-1543513948280_T8rHW2_lu"
          ],
          "robotApplicationNames": [
              "AWSRoboMakerPersonDetection-1543513948280_EYaMT0mYb"
          ]
      },
      {
          "arn": "arn:aws:robomaker:us-west-2:111111111111:simulation-job/sim-51vxjbzy4q8t",
          "lastUpdatedAt": 1543508858.0,
          "status": "Canceled",
          "simulationApplicationNames": [
              "AWSRoboMakerCloudWatch-1543504747391_lFF9ZQyx6"
          ],
          "robotApplicationNames": [
              "AWSRoboMakerCloudWatch-1543504747391_axbYa3S3K"
          ]
      },
      {
          "arn": "arn:aws:robomaker:us-west-2:111111111111:simulation-job/sim-kgf1fqxflqbx",
          "lastUpdatedAt": 1543504862.0,
          "status": "Completed",
          "simulationApplicationNames": [
              "AWSRoboMakerCloudWatch-1543504747391_lFF9ZQyx6"
          ],
          "robotApplicationNames": [
              "AWSRoboMakerCloudWatch-1543504747391_axbYa3S3K"
          ]
      },
      {
          "arn": "arn:aws:robomaker:us-west-2:111111111111:simulation-job/sim-vw8lvh061nqt",
          "lastUpdatedAt": 1543441430.0,
          "status": "Completed",
          "simulationApplicationNames": [
              "AWSRoboMakerHelloWorld-1543437372341__yb_Jg96l"
          ],
          "robotApplicationNames": [
              "AWSRoboMakerHelloWorld-1543437372341_lNbmKHvs9"
          ]
      },
      {
          "arn": "arn:aws:robomaker:us-west-2:111111111111:simulation-job/sim-txy5ypxmhz84",
          "lastUpdatedAt": 1543437488.0,
          "status": "Completed",
          "simulationApplicationNames": [
              "AWSRoboMakerHelloWorld-1543437372341__yb_Jg96l"
          ],
          "robotApplicationNames": [
              "AWSRoboMakerHelloWorld-1543437372341_lNbmKHvs9"
          ]
      }
  ]
}

The following code example shows how to use list-tags-for-resource.

Amazon CLI

To list tags for a resource

This example lists tags for an Amazon RoboMaker resource.

Command:

aws robomaker list-tags-for-resource --resource-arn "arn:aws:robomaker:us-west-2:111111111111:robot/Robby_the_Robot/1544035373264"

Output:

{
  "tags": {
      "Region": "North",
      "Stage": "Initial"
  }
}

The following code example shows how to use register-robot.

Amazon CLI

To register a robot

This example registers a robot to a fleet.

Command:

aws robomaker register-robot --fleet arn:aws:robomaker:us-west-2:111111111111:deployment-fleet/MyFleet/1550771358907 --robot arn:aws:robomaker:us-west-2:111111111111:robot/MyRobot/1550772324398

Output:

{
  "fleet": "arn:aws:robomaker:us-west-2:111111111111:deployment-fleet/MyFleet/1550771358907",
  "robot": "arn:aws:robomaker:us-west-2:111111111111:robot/MyRobot/1550772324398"
}

  • For API details, see RegisterRobot in Amazon CLI Command Reference.

The following code example shows how to use restart-simulation-job.

Amazon CLI

To restart a simulation

This example restarts a simulation.

Command:

aws robomaker restart-simulation-job --job arn:aws:robomaker:us-west-2:111111111111:simulation-job/sim-t6rdgt70mftr

The following code example shows how to use sync-deployment-job.

Amazon CLI

To sync a deployment job

This example synchronizes a deployment job.

Command:

aws robomaker sync-deployment-job --fleet arn:aws:robomaker:us-west-2:111111111111:deployment-fleet/Trek/1539894765711

Output:

{
  "arn": "arn:aws:robomaker:us-west-2:111111111111:deployment-job/deployment-09ccxs3tlfms",
  "fleet": "arn:aws:robomaker:us-west-2:111111111111:deployment-fleet/MyFleet/1539894765711",
  "status": "Pending",
  "deploymentConfig": {
      "concurrentDeploymentPercentage": 20,
      "failureThresholdPercentage": 25
  },
  "deploymentApplicationConfigs": [
      {
          "application": "arn:aws:robomaker:us-west-2:111111111111:robot-application/MyRobotApplication/1546541208251",
          "applicationVersion": "1",
          "launchConfig": {
              "packageName": "hello_world_simulation",
              "launchFile": "empty_world.launch"
          }
      }
  ],
  "createdAt": 1551286954.0
}

The following code example shows how to use tag-resource.

Amazon CLI

To tag a resource

This example tags a resource. It attaches two tags: Region and Stage.

Command:

aws robomaker tag-resource --resource-arn "arn:aws:robomaker:us-west-2:111111111111:robot/MyRobot/1544035373264" --tags Region=North,Stage=Initial

  • For API details, see TagResource in Amazon CLI Command Reference.

The following code example shows how to use untag-resource.

Amazon CLI

To untag a resource

This example removes a tag from a resource. It removes the Region tag.

Command:

aws robomaker untag-resource --resource-arn "arn:aws:robomaker:us-west-2:111111111111:robot/MyRobot/1544035373264" --tag-keys Region

  • For API details, see UntagResource in Amazon CLI Command Reference.

The following code example shows how to use update-robot-application.

Amazon CLI

To update a robot application

This example updates a robot application.

Command:

aws robomaker update-robot-application --application arn:aws:robomaker:us-west-2:111111111111:robot-application/MyRobotApplication/1551203485821 --sources s3Bucket=amzn-s3-demo-bucket,s3Key=my-robot-application.tar.gz,architecture=X86_64 --robot-software-suite name=ROS,version=Kinetic

Output:

{
  "arn": "arn:aws:robomaker:us-west-2:111111111111:robot-application/MyRobotApplication/1551203485821",
  "name": "MyRobotApplication",
  "version": "$LATEST",
  "sources": [
      {
          "s3Bucket": "amzn-s3-demo-bucket",
          "s3Key": "my-robot-application.tar.gz",
          "architecture": "X86_64"
      }
  ],
  "robotSoftwareSuite": {
      "name": "ROS",
      "version": "Kinetic"
  },
  "lastUpdatedAt": 1551287993.0,
  "revisionId": "20b5e331-24fd-4504-8b8c-531afe5f4c94"
}

The following code example shows how to use update-simulation-application.

Amazon CLI

To update a simulation application

This example updates a simulation application.

Command:

aws robomaker update-simulation-application --application arn:aws:robomaker:us-west-2:111111111111:simulation-application/MySimulationApplication/1551203427605 --sources s3Bucket=amzn-s3-demo-bucket,s3Key=my-simulation-application.tar.gz,architecture=X86_64 --robot-software-suite name=ROS,version=Kinetic --simulation-software-suite name=Gazebo,version=7 --rendering-engine name=OGRE,version=1.x

Output:

{
  "arn": "arn:aws:robomaker:us-west-2:111111111111:simulation-application/MySimulationApplication/1551203427605",
  "name": "MySimulationApplication",
  "version": "$LATEST",
  "sources": [
      {
          "s3Bucket": "amzn-s3-demo-bucket",
          "s3Key": "my-simulation-application.tar.gz",
          "architecture": "X86_64"
      }
  ],
  "simulationSoftwareSuite": {
      "name": "Gazebo",
      "version": "7"
  },
  "robotSoftwareSuite": {
      "name": "ROS",
      "version": "Kinetic"
  },
  "renderingEngine": {
      "name": "OGRE",
      "version": "1.x"
  },
  "lastUpdatedAt": 1551289361.0,
  "revisionId": "4a22cb5d-93c5-4cef-9311-52bdd119b79e"
}