Using Sensors: IMU

Learning Objectives

This tutorial introduces how to use an IMU for sensing an environment in Omniverse Isaac Sim. After this tutorial, you will know how to add an IMU sensor to the scene, activate it, and measure acceleration, angular velocity, and orientations in a scene.

10-15 Minute Tutorial

Getting Started

Prerequisites

• Review the Core Tutorial series and IMU GUI example prior to beginning this tutorial.

This tutorial demonstrates how to integrate the IMU sensor into an Omniverse Isaac Sim simulation, by going over the three methods to create an IMU sensor, the methods to set IMU sensor properties and read IMU sensor data, and finally the omnigraph nodes for reading IMU sensor data and visualizing IMU sensor pose.

IMU Sensor Properties

1. enabled parameter determines if the sensor is running or note

2. sensor period parameter specifies the time inbetween sensor measurement. A sensor period that’s lower than the physics delta time will always output the latest physics data. The sensor frequency cannot go beyond the physics frequency.

3. angularVelocityFilterWidth parameter species the size of the angular velocity rolling average. Increase this parameter will result in smoother angular velocity output

4. linearAccelerationFilterWidth parameter species the size of the linear acceleration rolling average. Increase this parameter will result in smoother linear acceleration output

5. orientationFilterWidth parameter species the size of the orientation rolling average. Increase this parameter will result in smoother orietnation output

The size of the data buffer used in interpolation is 2 times the max of the filter width or 20, whichever is greater

Creating and Modifying the IMU

Using the GUI

1. To create a Physics Scene, go to the top Menu Bar and Click Create > Physics > Physics Scene. There should now be a PhysicsScene Prim in the Stage panel on the right.

2. To create an IMU, first left click on the prim to attach the IMU on the stage, then go to the top Menu Bar and Click Create > Isaac > Sensors > Imu Sensor.

3. To change the position and orientation of the IMU, left click on the Imu_Sensor prim, then modify the Transform properties under the Property tab.

4. To change other IMU properties, expand the Raw USD Properties section, and properties such as filter width, enable/disable sensor, and sensor period will be available to modify.

Using Python Command

IMU can also be created via python using the command call with the available parameters to set below. The only required parameters are the parent path, and everything else can be filled with default values.

import omni.kit.commands
from pxr import Gf

success, _isaac_sensor_prim = omni.kit.commands.execute(
    "IsaacSensorCreateImuSensor",
    path="imu_sensor",
    parent="/World/Cube",
    sensor_period=1,
    linear_acceleration_filter_size=10,
    angular_velocity_filter_size=10,
    orientation_filter_size=10,
    translation = Gf.Vec3d(0, 0, 0),
    orientation = Gf.Quatd(1, 0, 0, 0),
)

Using Python Wrapper

The IMU can also be created using a python wrapper class. The benefit of using a wrapper class is it come with additional helper functions to set the IMU properties and retrieve IMU data.

from omni.isaac.sensor import IMUSensor
import numpy as np

IMUSensor(
    prim_path="/World/Cube/Imu",
    name="imu",
    frequency=60,
    translation=np.array([0, 0, 0]),
    orientation=np.array([1, 0, 0, 0]),
    linear_acceleration_filter_size = 10,
    angular_velocity_filter_size = 10,
    orientation_filter_size = 10,
)

Note

Translation and Position cannot both be defined, frequency and dt also cannot both be defined.

To modify sensor parameters, you can use build in class api calls such as set_frequency, set_dt, or usd attribute api calls.

Reading Sensor Output

There are also three methods for reading the sensor output: using get_sensor_reading() in the sensor interface, get_current_frame() in the IMU Python class, and the omnigraph node Isaac Read IMU Node

get_sensor_reading(sensor_path, interpolation_function = None, use_latest_data = False, read_gravity = True)

The get_sensor_reading function takes in three parameters: the prim_path to any IMU sensor prim, an interpolation function (optional) to use in place of the default linear interpolation function, and the useLatestValue flag (optional) for retrieving the data point from the current physics step if the sensor is running at a slower rate than physics rate The function will return an IsSensorReading object which has is_valid, time, lin_acc_x, lin_acc_y, lin_acc_z, ang_vel_x, ang_vel_y, ang_vel_z, and orientation properties.

Sample usage to get the reading from the current physics step with gravitational effects:

from omni.isaac.sensor import _sensor

_imu_sensor_interface = _sensor.acquire_imu_sensor_interface()
_imu_sensor_interface.get_sensor_reading("/World/Cube/Imu", use_latest_data = True, read_gravity = True)

Sample usage with custom interpolation function without gravitational effects:

from omni.isaac.sensor import _sensor
from typing import List

# Input Param: List of past IsSensorReadings, time of the expected sensor reading
def interpolation_function(data:List[_sensor.IsSensorReading], time:float) -> _sensor.IsSensorReading:
    interpolated_reading = _sensor.IsSensorReading()
    # do interpolation
    return interpolated_reading


_imu_sensor_interface = _sensor.acquire_imu_sensor_interface()
_imu_sensor_interface.get_sensor_reading("/World/Cube/Imu", interpolation_function=interpolation_function, read_gravity = False)

Note

When custom interpolation used and read gravity flag is enabled, the sensor will pass raw acceleration measurements to the custom interpolation function and apply gravitational transforms after.

get_current_frame(read_gravity = True)

The get_current_frame() function is a wrapper around get_sensor_reading(path_to_current_sensor) function and a member function of the IMU class. This function returns a dictionary with lin_acc, ang_vel, orientation, time, and physics_step as keys for the Contact measurement. The get_current_frame() function uses the default parameters of get_sensor_reading, so it utilizes linear interpolation and last sensor reading at reading time.

Sample usage:

from omni.isaac.sensor import IMUSensor
import numpy as np

sensor = IMUSensor(
    prim_path="/World/Cube/Imu",
    name="imu",
    frequency=60,
    translation=np.array([0, 0, 0]),
    orientation=np.array([1, 0, 0, 0]),
    linear_acceleration_filter_size = 10,
    angular_velocity_filter_size = 10,
    orientation_filter_size = 10,
)

value = sensor.get_current_frame()
print(value)

Isaac Read IMU Node

For reading IMU data using the Omnigraph, see this tutorial: IMU Sensor Node.

Visualizing Sensor

The IMU sensor position and orientation can be visualized using the Isaac xPrim Axis Visualizer Node. Simply connect the xPrim input to the IMU Sensor Prim, connect Tick to Exec in and configure the desired axis length and thickness visualization, and the IMU sensor will be visible on PLAY.

API Documentation

See the API Documentation for complete usage information.