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The basic ideas for Robot Framework were shaped in Pekka Klärck's masters thesis [3] in 2005. The first version was developed at Nokia Networks the same year. Version 2.0 was released as open source software June 24, 2008 and version 3.0.2 was released February 7, 2017.
Open source robotics means that information about the hardware is easily discerned, so that others can easily rebuild it. In turn, this requires design to use only easily available standard subcomponents and tools, and for the build process to be documented in detail including a bill of materials and detailed ('Ikea style') step-by-step building and testing instructions.
rviz [69] (Robot Visualization tool) is a three-dimensional visualizer used to visualize robots, the environments they work in, and sensor data. It is a highly configurable tool, with many different types of visualizations and plugins. Unified Robot Description Format is an XML file format for robot model description.
Robot software is the set of coded commands or instructions that tell a mechanical device and electronic system, known together as a robot, what tasks to perform. Robot software is used to perform autonomous tasks. Many software systems and frameworks have been proposed to make programming robots easier.
Microsoft Robotics Developer Studio has not been updated or patched since version 4.0, which was released on March 8, 2012. On September 22, 2014, as part of Microsoft's restructuring plan, the Robotics division of Microsoft Research was suspended, according to a tweet from Ashley Feniello, a principal developer at Microsoft Robotics division ...
[7] ROS (Robot Operating System) provides an eco-system to support cloud robotics. ROS is a flexible and distributed framework for robot software development. It is a collection of tools, libraries, and conventions that aim to simplify the task of creating complex and robust robot behaviour across a wide variety of robotic platforms.
2005 DARPA Grand Challenge winner Stanley performed SLAM as part of its autonomous driving system. A map generated by a SLAM Robot. Simultaneous localization and mapping (SLAM) is the computational problem of constructing or updating a map of an unknown environment while simultaneously keeping track of an agent's location within it.
Robot learning is a research field at the intersection of machine learning and robotics. It studies techniques allowing a robot to acquire novel skills or adapt to ...