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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.
A Keyword or Action Word is a defined combination of actions on a test object which describes how test lines must be executed. An action word contains arguments and is defined by a test analyst. The test is a key step in any process of development and shall to apply a series of tests or checks to an object (system / SW test — SUT).
Aerobot a robot capable of independent flight on other planets. A type of aerial robot. Arduino The current platform of choice for small-scale robotic experimentation and physical computing. Artificial intelligence is the intelligence of machines and the branch of computer science that aims to create it.
Test automation, mostly using unit testing, is a key feature of extreme programming and agile software development, where it is known as test-driven development (TDD) or test-first development. Unit tests can be written to define the functionality before the code is written.
The following outline is provided as an overview of and topical guide to robotics: . Robotics is a branch of mechanical engineering, electrical engineering and computer science that deals with the design, construction, operation, and application of robots, as well as computer systems for their control, sensory feedback, and information processing.
Robotic process automation (RPA) is a form of business process automation that is based on software robots (bots) or artificial intelligence (AI) agents. [1] RPA should not be confused with artificial intelligence as it is based on automotive technology following a predefined workflow. [2]
Robotics middleware is middleware to be used in complex robot control software systems. "...robotic middleware is designed to manage the complexity and heterogeneity of the hardware and applications, promote the integration of new technologies, simplify software design, hide the complexity of low-level communication and the sensor heterogeneity of the sensors, improve software quality, reuse ...
It studies techniques allowing a robot to acquire novel skills or adapt to its environment through learning algorithms. The embodiment of the robot, situated in a physical embedding, provides at the same time specific difficulties (e.g. high-dimensionality, real time constraints for collecting data and learning) and opportunities for guiding ...