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The vision system provides the exact location coordinates of the components to the robot, which are spread out randomly beneath the camera's field of view, enabling the robot arm(s) to position the attached end effector (gripper) to the selected component and pick from the conveyor belt. The conveyor may stop under the camera to allow the ...
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 ...
Sirius is an open-source software project of the Eclipse Foundation. This technology allows users to create custom graphical modeling workbenches by leveraging the Eclipse Modeling technologies, including EMF and GMF. The modeling workbench created is composed of a set of Eclipse editors (diagrams, tables and trees) which allow the users to ...
ATL: A QVT-like language functioning with Eclipse/EMF, together with a library of model transformations. ATL is the current Eclipse M2M solution. Bonita Open Solution: A Business Process Management solution which contains a studio based on EMF and GMF to edit BPMN diagrams. Borland Together: A Java and UML modeling IDE with QVT integration.
According to Ed Merks, EMF project lead, "Ecore is the defacto reference implementation of OMG's EMOF" (Essential Meta-Object Facility). Still according to Merks, EMOF was actually defined by OMG as a simplified version of the more comprehensive 'C'MOF by drawing on the experience of the successful simplification of Ecore's original implementation.
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.
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.
In robotics and mathematics, the hand–eye calibration problem (also called the robot–sensor or robot–world calibration problem) is the problem of determining the transformation between a robot end-effector and a sensor or sensors (camera or laser scanner) or between a robot base and the world coordinate system. [1]