Configure a Merged Movement Sensor
The merged
movement sensor model is an abstraction that combines data from multiple movement sensors.
This allows you to aggregate the API methods supported by multiple sensors into a singular sensor client.
This is especially useful if you want to get readings of position and orientation or linear and angular velocity at the same time, which are normally separately supported and returned by GPS
or IMU
models, respectively.
To reduce velocity error when your machine is using the navigation service, aggregate Position()
from a GPS
and Orientation()
from an IMU
movement sensor in a merged
model.
Configure a navigation service to use your merged sensor to navigate.
Before configuring a merged
movement sensor, configure each movement sensor you want to merge as an individual component according to its model’s configuration instructions.
Reference the name
you configure for each individual component in the merged
sensor’s configuration attributes:
Navigate to the CONFIGURE tab of your machine’s page in the Viam app.
Click the + icon next to your machine part in the left-hand menu and select Component.
Select the movement-sensor
type, then select the merged
model.
Enter a name or use the suggested name for your movement sensor and click Create.
Fill in the attributes as applicable to your movement sensor, according to the table below. For example:
{
"components": [
{
"name": "<your-sensor-name>",
"model": "merged",
"type": "movement_sensor",
"namespace": "rdk",
"attributes": {
"position": ["<your-gps-sensor-name-1>", "<your-gps-sensor-name-2>"],
"orientation": ["<your-imu-sensor-name-1>"],
"compass_heading": ["<your-gps-sensor-name-1>"],
"angular_velocity": ["<your-imu-sensor-name-1>"],
"linear_velocity": ["<your-gps-sensor-name-1>"],
"linear_acceleration": ["<your-accelerometer-sensor-name-1>"]
},
"depends_on": []
}
]
}
// { "components": [ { ... },
{
"name": "<your-sensor-name>",
"model": "merged",
"type": "movement_sensor",
"namespace": "rdk",
"attributes": {
"position": ["gps1"],
"orientation": ["imu-wit"],
"compass_heading": ["gps1"],
"angular_velocity": ["imu-wit", "mpu6050"],
"linear_velocity": ["gps1"],
"linear_acceleration": ["adxl345"]
},
"depends_on": []
}
Attributes
Configure an array of the name
of each movement sensor you want to add to your machine as a merged resource in the attributes of the merged
movement sensor model:
- The name of each attribute represents the
Property
that the particular movement sensor supports, or the type of reading or measurement that it takes. - Get the properties supported by each model from its model configuration documentation, or by calling
GetProperties()
on the sensor. - Put the
name
of each movement sensor into the attribute array for the type of reading it supports. You can use the same sensor for multiple attributes if it supports multiple properties.
Name | Type | Required? | Description |
---|---|---|---|
position | array | Dependent on Readings Type Supported | The name of the movement sensor you want to merge, if it reads position. |
orientation | array | Dependent on Readings Type Supported | The name of the movement sensor you want to merge, if it reads orientation. |
compass_heading | array | Dependent on Readings Type Supported | The name of the movement sensor you want to merge, if it reads compass heading position. |
linear_velocity | array | Dependent on Readings Type Supported | The name of the movement sensor you want to merge, if it reads linear velocity. |
angular_velocity | array | Dependent on Readings Type Supported | The name of the movement sensor you want to merge, if it reads angular velocity. |
linear_acceleration | array | Dependent on Readings Type Supported | The name of the movement sensor you want to merge, if it reads linear acceleration |
Note that only one sensor from each array can be used to retrieve each type of reading.
Your machine uses the first sensor in the array that has implemented the relevant API method in its model and does not raise an error at runtime.
For instance, in the JSON Example above, if both "imu-wit"
and "mpu6050"
support returning angular_velocity
, "mpu6050"
is only used to read angular velocity on the machine if "imu-wit"
returns an error at runtime.
Test the movement sensor
After you configure your movement sensor, navigate to the Control tab and select the dedicated movement sensor dropdown panel. This panel presents the data collected by the movement sensor.
Troubleshooting
If your movement sensor is not working as expected, follow these steps:
- Check your machine logs on the LOGS tab to check for errors.
- Review this movement sensor model’s documentation to ensure you have configured all required attributes.
- Click on the TEST panel on the CONFIGURE or CONTROL tab and test if you can use the movement sensor there.
If none of these steps work, reach out to us on the Community Discord and we will be happy to help.
Next steps
For more configuration and usage info, see:
Have questions, or want to meet other people working on robots? Join our Community Discord.
If you notice any issues with the documentation, feel free to file an issue or edit this file.
Was this page helpful?
Glad to hear it! If you have any other feedback please let us know:
We're sorry about that. To help us improve, please tell us what we can do better:
Thank you!