Clock and Time

This article describes the ROS primitives to support programming which can run both in real time as well as simulated time which may be faster or slower.

Original Author: Tully Foote


Many robotics algorithms inherently rely on timing as well as synchronization. To this end we require that nodes running in the ROS network have a synchronized system clock such that they can accurately report timestamps for events.

There are however several use cases where being able to control the progress of the system is important.

Use cases requiring time abstraction

When playing back logged data it is often very valuable to support accelerated, slowed, or stepped control over the progress of time. This control can allow you to get to a specific time and pause the system so that you can debug it in depth. It is possible to do this with a log of the sensor data, however if the sensor data is out of synchronization with the rest of the system it will break many algorithms.

Another important use case for using an abstracted time source is when you are running logged data against a simulated robot instead of a real robot. Depending on the simulation characteristics, the simulator may be able to run much faster than real time or it may need to run much slower. Running faster than real time can be valuable for high level testing as well allowing for repeated system tests. Slower than real time simulation is necessary for complicated systems where accuracy is more important than speed. Often the simulation is the limiting factor for the system and as such the simulator can be a time source for faster or slower playback. Additionally if the simulation is paused the system can also pause using the same mechanism.

Challenges in using abstracted time

There are many algorithms for synchronization and they can typically achieve accuracies which are better than the latency of the network communications between devices on the network. However, these algorithms take advantage of assumptions about the constant and continuous nature of time.

An important aspect of using an abstracted time is to be able to manipulate time. In some cases, speeding up, slowing down, or pausing time entirely is important for debugging.

The ability to support pausing time requires that we not assume that the time values are always increasing.

When communicating the changes in time propagation, the latencies in the communication network becomes a challenge. Any change in the time abstraction must be communicated to the other nodes in the graph, but will be subject to normal network communication latency. This inaccuracy is proportional to the latency of communications and also proportional to the increase in the real time factor. If very accurate timestamping is required when using the time abstraction, it can be achieved by slowing down the real time factor such that the communication latency is comparatively small.

The final challenge is that the time abstraction must be able to jump backwards in time, a feature that is useful for log file playback. This behavior is similar to a system clock after a negative date change, and requires developers using the time abstraction to make sure their algorithm can deal with the discontinuity. Appropriate APIs must be provided for to the developer API to enable notifications of jumps in time, both forward and backwards.

Time Abstractions

There will be at least three versions of these abstractions with the following types, SystemTime, SteadyTime and ROSTime. These choices are designed to parallel the std::chrono system_clock and steady_clock. It is expected that the default choice of time will be to use the ROSTime source, however the parallel implementations supporting steady_clock and system_clock will be maintained for use cases where the alternate time source is required.

System Time

For convenience in these cases we will also provide the same API as above, but use the name SystemTime.

SystemTime will be directly tied to the system clock.

Steady Time

Example use cases for this include hardware drivers which are interacting with peripherals with hardware timeouts.

In nodes which require the use of SteadyTime or SystemTime for interacting with hardware or other peripherals it is expected that they do a best effort to isolate any SystemTime or SteadyTime information inside their implementation and translate external interfaces to use the ROS time abstraction when communicating over the ROS network.

ROS Time

The ROSTime will report the same as SystemTime when an ROS Time Source is not active. When the ROS time source is active ROSTime will return the latest value reported by the Time Source.

ROS Time Sources

Default Time Source

To implement the time abstraction the following approach will be used.

The time abstraction can be published by one source on the /clock topic. The topic will contain the most up to date time for the ROS system. If a publisher exists for the topic, it will override the system time when using the ROS time abstraction. If /clock is being published, calls to the ROS time abstraction will return the latest time received from the /clock topic. If time has not been set it will return zero if nothing has been received. A time value of zero should be considered an error meaning that time is uninitialized.

If the time on the clock jumps backwards, a callback handler will be invoked and be required to complete before any calls to the ROS time abstraction report the new time. Calls that come in before that must block. The developer has the opportunity to register callbacks with the handler to clear any state from their system if necessary before time will be in the past.

The frequency of publishing the /clock as well as the granularity are not specified as they are application specific.

No Advanced Estimating Clock

There are more advanced techniques which could be included to attempt to estimate the propagation properties and extrapolate between time ticks. However all of these techniques will require making assumptions about the future behavior of the time abstraction. And in the case that playback or simulation is instantaneously paused, it will break any of these assumptions. There are techniques which would allow potential interpolation, however to make these possible it would require providing guarantees about the continuity of time into the future. For more accuracy the progress of time can be slowed, or the frequency of publishing can be increased. Tuning the parameters for the /clock topic lets you trade off time for computational effort and/or bandwidth.

Custom Time Source

It is possible that the user may have access to an out of band time source which can provide better performance than the default source the /clock topic. It might be possible that for their use case a more advanced algorithm would be needed to propagate the simulated time with adequate precision or latency with restricted bandwidth or connectivity. The user will be able to switch out the time source for either each instance of their Time object as well as have the ability to override the default for the process.

It is possible to use an external time source such as GPS in as a ROSTime source, but it is recommended to integrate a time source like that using standard ntp integrations with the system clock since that is already an established mechanism and will not need to deal with more complicated changes such as time jumps.


The SystemTime, SteadyTime, and ROSTime API’s will be provided by each client library in an idiomatic way, but they may share a common implementation, e.g. provided by rcl. However, if a client library chooses to not use the shared implementation then it must implement the functionality itself.

Public API

In each implementation will provide Time, Duration, and Rate datatypes, for all three time source abstraction.. The Duration will support a sleep_for function as well as a sleep_until method. The implementation will also provide a Timer object which will provide periodic callback functionality for all the abstractions.

RCL implementation

In rcl there will be datatypes and methods to implement each of the three time abstractions for each of the core datatypes. However at the rcl level the implementation will be incomplete as it will not have a threading model and will rely on the higher level implementation to provide any threading functionality such as is required by sleep methods.

It will provide implementations parallel to the public datastructures and storage which the client library can depend upon and to which it can delegate. The underlying datatypes will also provide ways to register notifications, however it is the responsibility of the client library implementation to collect and dispatch user callbacks.

TODO: Enumerate the rcl datastructures and methods here.


The default time source is modeled on the ROS Clock and ROS Time system used in ROS 1.0. For more information on the implementation in ROS 1.0 see:

Real Time

In this article the term ‘real time’ is used to express the true rate of progression of time. This is not connected to ‘real-time’ computing with deterministic deadlines.