A Citation from http://www.ros.org/about-ros/
ROS has become a standard tool in robot design for a lot of companies. And since it's an open source software, anyone can use it freely in their own projects. Also the architecture of ROS enables modularity, which helps not only on creating your own source code and integrate with others very quickly but also it makes the execution of codes much much faster.
Following video shows some of the robots that are implemented using ROS :
So, to get started with ROS, we decided to start from what we already know : MATLAB ...yes! it's the software that is taught in nearly every Engineering Institute. Staring from MATLAB release 2014a, Mathworks has incorporated a support for ROS based simulator and robot. And in release 2015a, they have provided a toolbox called "Robotic System Toolbox" to integrate ROS based simulator or robot much more easily.
At this stage, we are just trying to use the simulator and use the existing algorithms in MATLAB and deploy it and run into the simulator named Gazebo.
The Robot Operating System (ROS) is a flexible framework for writing robot software. It is a collection of tools, libraries, and conventions that aim to simplify the task of creating complex and robust robot behavior across a wide variety of robotic platforms.
Why? Because creating truly robust, general-purpose robot software is hard. From the robot's perspective, problems that seem trivial to humans often vary wildly between instances of tasks and environments. Dealing with these variations is so hard that no single individual, laboratory, or institution can hope to do it on their own.
As a result, ROS was built from the ground up to encourage collaborative robotics software development. For example, one laboratory might have experts in mapping indoor environments, and could contribute a world-class system for producing maps. Another group might have experts at using maps to navigate, and yet another group might have discovered a computer vision approach that works well for recognizing small objects in clutter. ROS was designed specifically for groups like these to collaborate and build upon each other's work.
ROS has become a standard tool in robot design for a lot of companies. And since it's an open source software, anyone can use it freely in their own projects. Also the architecture of ROS enables modularity, which helps not only on creating your own source code and integrate with others very quickly but also it makes the execution of codes much much faster.
Following video shows some of the robots that are implemented using ROS :
So, to get started with ROS, we decided to start from what we already know : MATLAB ...yes! it's the software that is taught in nearly every Engineering Institute. Staring from MATLAB release 2014a, Mathworks has incorporated a support for ROS based simulator and robot. And in release 2015a, they have provided a toolbox called "Robotic System Toolbox" to integrate ROS based simulator or robot much more easily.
At this stage, we are just trying to use the simulator and use the existing algorithms in MATLAB and deploy it and run into the simulator named Gazebo.