Original author(s) | Willow Garage Stanford Artificial Intelligence Laboratory Open Robotics |
---|---|
Initial release | 2007 |
Stable release | Iron Irwini[1]
/ 23 May 2023 |
Preview release | Jazzy Jalisco (ROS 2)[2]
|
Repository | github |
Written in | C++, Python, and Lisp |
Operating system | Linux, macOS (experimental), Windows 10 (experimental) |
Type | Robotics suite, OS, library |
License | Apache 2.0 |
Website | www |
As of | June 2023 |
Robot Operating System (ROS or ros) is an open-source robotics middleware suite. Although ROS is not an operating system (OS) but a set of software frameworks for robot software development, it provides services designed for a heterogeneous computer cluster such as hardware abstraction, low-level device control, implementation of commonly used functionality, message-passing between processes, and package management. Running sets of ROS-based processes are represented in a graph architecture where processing takes place in nodes that may receive, post, and multiplex sensor data, control, state, planning, actuator, and other messages. Despite the importance of reactivity and low latency in robot control, ROS is not a real-time operating system (RTOS). However, it is possible to integrate ROS with real-time computing code.[3] The lack of support for real-time systems has been addressed in the creation of ROS 2,[4][5][6] a major revision of the ROS API which will take advantage of modern libraries and technologies for core ROS functions and add support for real-time code and embedded system hardware.
Software in the ROS Ecosystem[7] can be separated into three groups:
Both the language-independent tools and the main client libraries (C++, Python, and Lisp) are released under the terms of the BSD license, and as such are open-source software and free for both commercial and research use. The majority of other packages are licensed under a variety of open-source licenses. These other packages implement commonly used functionality and applications such as hardware drivers, robot models, datatypes, planning, perception, simultaneous localization and mapping (SLAM), simulation tools, and other algorithms.
The main ROS client libraries are geared toward a Unix-like system, mostly because of their dependence on large sets of open-source software dependencies. For these client libraries, Ubuntu Linux is listed as "Supported" while other variants such as Fedora Linux, macOS, and Microsoft Windows are designated "experimental" and are supported by the community.[12] The native Java ROS client library, rosjava,[13] however, does not share these limitations and has enabled ROS-based software to be written for the Android OS.[14] rosjava has also enabled ROS to be integrated into an officially supported MATLAB toolbox which can be used on Linux, macOS, and Microsoft Windows.[15] A JavaScript client library, roslibjs[16] has also been developed which enables integration of software into a ROS system via any standards-compliant web browser.