Based on the provided information, software used for robotics includes a core system called Robot Operating System (ROS), along with programming languages and analytical tools that integrate with it.
Robot Operating System (ROS)
At the heart of the software tools mentioned is the Robot Operating System (ROS). ROS is described as a set of software libraries and tools designed to help you build robot applications. Think of it as a framework that provides common functionalities needed for robot development.
Programming Robot Applications
To create specific behaviors and applications for robots using ROS, developers write programs. The reference highlights the use of specific programming languages for this purpose:
- C/C++: You can write your own programs for ROS using C/C++. These languages are often chosen for performance-critical tasks in robotics.
- Python: Python is also supported for writing programs for ROS. Its ease of use and extensive libraries make it popular for rapid development and scripting.
These languages allow you to interact with ROS libraries and control the robot's hardware and software components.
Data Analysis and Interfacing
Beyond core programming, other software is used for tasks like data analysis and interfacing with the ROS system:
- Matlab: This software is used for data analysis and provides capabilities to interface with ROS. It's often employed for tasks like algorithm development, simulation, and data visualization.
- Octave: Mentioned as a free, open-source equivalent to Matlab, Octave is also available for similar data analysis and interfacing tasks related to robotics, particularly for those working with ROS.
In summary, the software ecosystem described for robotics centers around ROS, supported by programming languages like C/C++ and Python for application development, and analytical tools such as Matlab and Octave for data analysis and system interfacing.
