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Gazebo is an open-source 2D/3D robotics simulator that began development in 2002. In 2017, development forked into two versions, known as "Gazebo", the original monolithic architecture, and "Ignition", which had moved to become a modernized collection of loosely coupled libraries.
gazebo_ros_pkgs [90] is a meta-package which provides packages for integrating ROS with the Gazebo simulator. stage [ 91 ] provides an interface for the 2D Stage simulator. Versions and releases
Open Robotics is a nonprofit corporation headquartered in Mountain View, California.It is the primary maintainer of the Robot Operating System, and the Gazebo simulator. [1] [2] Its stated mission is to support "the development, distribution and adoption of open source software for use in robotics research, education, and product development".
The Gazebo 3D robot simulator was a component in the Player Project from 2004 through 2011. Gazebo integrated the Open Dynamics Engine (ODE) physics engine, OpenGL rendering, and support code for sensor simulation and actuator control. In 2011, Gazebo became an independent project support by Willow Garage. [3]
wiki.ros.org /urdf URDF , Unified Robot Description Format is an XML format for representing a robot model. [ 1 ] URDF is commonly used in Robot Operating System (ROS) tools such as rviz (Ros Visualization tool) and Gazebo simulator . [ 2 ]
Willow Garage was a robotics research lab and technology incubator devoted to developing hardware and open source software for personal robotics applications. [2] The company was best known for its open source software suite Robot Operating System (ROS), which rapidly became a common, standard tool among robotics researchers upon its initial release in 2010. [3]
The use of a robotics simulator to develop a robotics control program is highly recommended regardless of whether a physical robot is available or not. The simulator allows for robotics programs to be conveniently written and debugged off-line with the final version of the program tested on a physical robot.
Visual servoing, also known as vision-based robot control and abbreviated VS, is a technique which uses feedback information extracted from a vision sensor (visual feedback [1]) to control the motion of a robot. One of the earliest papers that talks about visual servoing was from the SRI International Labs in 1979.