ROS - Robot Operating System

INTRODUCTION:

The Robot Operating System (ROS) is an open-source framework that helps researchers and developers build and reuse code between robotics applications. ROS is also a global open-source community of engineers, developers, and hobbyists who contribute to making robots better, more accessible, and available to everyone.

WHY ROS IS NEEDED?

Every robotics developer and robot designer – before the advent of ROS – would spend a considerable amount of time designing the embedded software within a robot, as well as the hardware itself. This required skills in mechanical engineering, electronics, and embedded programming. Typically, the programs engineered this way were more similar to embedded programming and electronics than they were to robotics. For instance, we might encounter this in service robotics a lot nowadays, where there is significant reuse of programs, as they are strongly linked to the underlying hardware.

The main objective of ROS is to avoid continuously reinventing the wheel, and to offer standardized functionalities that perform hardware abstraction, just like a conventional operating system This is also one of the reasons why ROS has an analogous name to operating systems used in PCs.

ROS works by combining expertise from different disciplines. Designing and programming a robot involves managing the hardware by writing drivers, memory, processes, concurrency, parallelism, and data merging. ROS also provides abstract reasoning algorithms, making the application of artificial intelligence possible in robotic systems. Robotics, therefore, requires very different skill sets, typically beyond the capability of a single individual. ROS lowers the technical competency required for engineers to work on robotics projects by offering all the necessary tools to build a fully functional robotic device. This makes it easier for many companies to get started in robotics, or to design complex robotic systems quicker. This in a way has led to many companies starting up in the robotic space by developing robots that find innovative applications in a wide variety of industries.

ROS WORKING:

ROS is language-independent. Currently, three main libraries have been defined for ROS, making it possible to program ROS in Python, Lisp, or C++. In addition to these three libraries, two experimental libraries are also offered. This enables the programming of ROS in Java or Lua as well.

ADVANTAGES & CONCLUSION:

ROS provides a powerful and flexible platform for developing, testing and deploying robotic systems, and it is used widely in both academic and industrial settings.

One of the key benefits of ROS is the extensive set of resources and packages available to developers. ROS provides a wide range of pre-built packages and libraries that cover everything from low-level hardware control to high-level perception and decision-making. This makes it easier and faster for developers to prototype and test new robotic applications, as they can leverage existing code rather than having to develop everything from scratch.

Another advantage of ROS is that it is a highly collaborative platform. ROS is open-source, which means that anyone can contribute to its development and share their own code with the community. This has led to a rich ecosystem of developers and users who are constantly creating new packages and improving existing ones. As a result, ROS is always being updated with new features and improvements, making it a dynamic and evolving platform.

In conclusion, I personally think that learning ROS will always be helpful for a robotic enthusiast in many ways.