/task_manager

Task Manager ROS 2 package is a solution to start, handle and track tasks from different sources in a centralized way on a single robot

Primary LanguagePythonApache License 2.0Apache-2.0

ROS 2 Task Manager

Task Manager ROS 2 package is a solution to start, handle and track tasks from multiple different sources in a centralized way on a single robot. If you want to:

  • have an easy way to start new tasks from any local or web source: UI, voice control, command line, etc.
  • track all the currently active tasks and their end results on your robot,
  • automatically cancel the previous task if a new conflicting one is given,
  • combine multiple smaller tasks into a Mission,
  • implement custom behavior for example on task start and end,

Task Manager is your solution!

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Features

  1. Tasks
  2. Active tasks
  3. Result tracking
  4. Missions
  5. Task Cancelling
  6. Global STOP-task

Tasks

Any existing ROS 2 service or action can be declared as a "Task" in a parameter file. In addition to default service and action features, tasks have the following properties:

  • Blocking tasks: Any task can be marked as a blocking task. Only a single blocking task can be active at a time in the whole system, and if another blocking task request is received, Task Manager will cancel the previous blocking task automatically. For example, tasks navigate_to_pose and change_map should never be active at the same time.
  • Cancel-on-stop: Tasks can be cancelled automatically when the global "STOP" task is called.
  • Single-goal or reentrant execution: Task can be executed in two different modes:
    • Single-goal behavior (default): Only one task of the same type can be active at once, and a new task request of same type will cancel the previous one.
    • Reentrant: Task runs in parallel with any new coming requests for the same task.
  • Cancel reported as success: For some continuous tasks, such as record_video, user might want to stop the task execution by cancelling it but still report the end status as DONE.

For each task request, there are two useful fields:

  • Task ID: Unique identifier for the task. Auto-generated if left empty.
  • Task Source: The source of the task. For example "CLOUD", "Voice control", "CLI".

To start a task, send a goal to the action server /task_manager/execute_task. For example

ros2 action send_goal /task_manager/execute_task task_manager_msgs/action/ExecuteTask '{task_name: system/cancel_task, source: CLI, task_data: "{\"cancelled_tasks\": [\"example_task_id\"]}"}'

Note that the task_data is the json-formatted version of the action or service message interface.

Tasks provide their end status with the task_status field in the result using TaskStatus enumeration.

Active tasks list

It is possible to track all the currently active tasks that have their status as IN_PROGRESS by subscribing to /task_manager/active_tasks topic. The task's end status is also published to this topic just before the task is removed from the list.

Active tasks list can be useful for example to:

  • display all the currently active tasks on the robot in the UI,
  • track task starts and ends to execute some custom logic, for example to record rosbags automatically during tasks or to display visual and sound effects on the robot.

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An example of published active tasks

Result tracking

Results for all the tasks are published to /task_manager/results topic. This makes it very easy to send the results forward for example to the Cloud or UI, no matter where the task was started from. Task results are always json-formatted.

Note that the task's result can be an empty json "{}" if there was an error during task parsing.

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An example of published task result

Missions

Task Manager provides a way to combine multiple tasks into a larger Mission. This can be useful when implementing features such as Photo Documentation, which combines multiple smaller navigation and take_photo tasks.

  • Mission is just another task that will be active in addition to its subtasks.
  • All the subtasks will execute as independent tasks: Their results are published in the same way to /task_manager/results as for normal tasks.
  • Mission reports all the subtask statuses in the mission result. Subtask results are not published here.
  • If any of these subtasks encounter a failure, the entire mission is deemed unsuccessful. Furthermore, a subtask can be designated as skippable by setting the allow_skipping field, enabling it to be bypassed in case of execution failure.

Mission can be started by calling system/mission task.

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Example UI implementation for displaying a Mission that consists of "Navigation" and "Take Photo" tasks.

Task Cancelling

Tasks can be cancelled by calling a system/cancel_tasks task with the Task IDs that should be cancelled. This provides an easy way to cancel any executing task, no matter which ROS Node started it.

Tasks that are implemented using ROS Services cannot be cancelled due to their nature. Trying to cancel such a task will make Task Manager wait for a predefined time for the task to finish and return an ERROR status if it doesn't.

Global STOP-task

Task manager provides a system/stop task, which can be called to stop all the active tasks that have their parameter cancel_on_stop set to True.

Examples

Examples and their run instructions can be found in examples folder for:

  • Task execution, tracking and Missions
  • Nav2 example configuration

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Task and Mission setup used in Nav2 examples

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Turtlebot 3 executing a navigation task, a spin task and a Mission that combines many of these tasks.

Public API

Published topics

Topic Description Message interface
/task_manager/active_tasks Publishes all the tasks that are currently in progress. Reports also the task's final completion status before the task is removed from the list. ActiveTaskArray
/task_manager/results Publishes the end results of all the tasks. TaskDoneResult

Actions

Action topic Description Message interface
/task_manager/execute_task Starts any task with given data. ExecuteTask

Available tasks

The following tasks are available by default from the Task Manager

Task name Description Message interface
system/mission Starts a mission. Mission
system/cancel_task Cancels the given tasks by Task ID. CancelTasks
system/stop Cancels all the active tasks that have cancel_on_stop parameter set to True. StopTasks

Parameters

Parameter Type Default Description
tasks string[] - List of tasks.
<task>.task_name string - Name of the task. Defines the task type identifier to use when starting tasks via ExecuteTask action, i.e. the value of task field in the goal needs to match this task name.
<task>.topic string - Topic of the already existing service or action that implements the task logic.
<task>.msg_interface string - The message interface of the existing service or action, for example "example_interfaces.action.Fibonacci".
<task>.blocking bool False Whether the task is blocking or not. Only one blocking task can be active at once, and any newly given blocking tasks will cancel the previous one.
<task>.cancel_on_stop bool False Whether the task should be cancelled when "STOP" task is executed.
<task>.reentrant bool False Allows executing multiple goals for the same task in parallel. Note that the service or action implementing the task logic should also use a reentrant callback group for enabling of this option to make sense.
<task>.service_success_field string "" A usual way for ROS services is to provide their successful execution status for example with the "success" field in the response message. Specify here the name of this field if you wish your task to automatically set its status to ERROR when this field value is False. If left empty, the task will always finish with DONE status.

Note: Works only for the tasks that implement their logic with a service.
enable_task_servers bool False Creates new service and action topics for all the declared tasks under /task_manager/task/<task_name> topic, to allow easy task calling from the CLI using the ROS message interfaces instead of JSON format. Should be used for debugging and development purposes only, since the preferred task starting method through /task_manager/execute_task action topic allows user to also set Task ID and source.

The parameters that have their default as "-" are mandatory.

Getting started

Docker container

We recommend using Docker for Task Manager deployment, to run it in an isolated container that has all the required dependencies.

Prerequisites:

  1. Run in the repository root:
docker compose -f docker/task_manager/docker-compose.yaml run --build task_manager

(Optional) Verify the functionality by running the tests:

python3 -m pytest /ros2_ws/src/task_manager/test/
  1. Create a new parameter file declaring your tasks and launch the Task Manager. Replace the params_file path with your newly created parameters file path.
ros2 launch task_manager task_manager.launch.py params_file:=/ros2_ws/src/task_manager/params/task_manager_defaults.yaml

Roadmap

The following features are planned as future enhancements for Task Manager:

  • Task scheduling
  • Task pausing and resuming
  • Feedback topic for tasks
  • Timestamps, for tracking task start and end times

Maintainers

Acknowledgements

The initial version of the Task Manager was developed at Karelics Oy. This project came to life through the efforts of the following individuals, who contributed to its design, implementation, testing, and maintenance: Janne Karttunen, George-Cosmin Porusniuc, Joni Pöllänen, Taneli Korhonen, Leonardo Wellausen, Mart Moerdijk and Pekka Myller.