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ROS (Robot Operating System)

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4.5 / 5.0

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ROS (Robot Operating System)

Tags

robotics, open-source, middleware, robot software, AI, computer vision, navigation, simulation, automation, framework

  • Categories:
    Robotics
  • Creator Open Source (разработано Open Robotics)
  • Date 2010-03-02
  • Platforms Software framework, middleware
  • Status Active
  • Website ros.org
  • Price Model Free (Open Source)
  • Sections:
    Robot Control

Pricing Details

Free and open-source. Development and usage do not require licensing fees.

Features

Open-source framework; Modular architecture (nodes); Peer-to-peer communication; Publish-subscribe mechanism; Services (request-reply); Actionlib (long-running tasks); Hardware abstraction; Large library of tools and packages; Simulation tools (Gazebo); Visualization tools (RViz); Cross-platform support (Linux, Windows, macOS, embedded); Real-time capabilities (ROS 2); Enhanced security (ROS 2); Support for multi-robot systems (ROS 2).

Integrations

Integration with various robot hardware (sensors, actuators); Compatibility with simulators (Gazebo, V-REP); Integration with libraries for computer vision (OpenCV), motion planning (MoveIt), and other tasks; Support for various programming languages (C++, Python); Integration with AI/ML platforms (e.g., NVIDIA Isaac ROS); API for interaction with custom software and systems.

Preview

ROS (Robot Operating System) is a widely used open-source framework providing a set of libraries, tools, and conventions for building complex robot software. Despite its name, ROS is not a traditional operating system but rather a meta-operating system or a collection of software frameworks that facilitate the creation of applications for various types of robots. It provides standardized mechanisms for data exchange between robot components (nodes) using topics, services, and actions. ROS supports various programming languages and offers powerful tools for simulation (e.g., Gazebo) and data visualization (e.g., RViz), which significantly simplifies the development and debugging process. ROS is extensively used in academic research and is increasingly being adopted in commercial and industrial robotic systems, including autonomous vehicles, industrial manipulators, and service robots. The development of ROS continues with a focus on ROS 2, which offers improved support for multi-robot systems, real-time capabilities, security, and broader compatibility with various operating systems beyond Linux.