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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.
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]
Open Roberta Lab is cloud-based programming environment and is the user-facing middleware in a chain of software and firmware bits that make a robot work in a classroom environment. [4] This environment allows children and young people with no technical pre-knowledge to program a LEGO MINDSTORMS [ 5 ] EV3 and NXT robot, as well as the Arduino ...
Testing framework developed at Northeastern University to aid in teaching introductory computer science courses in Java OpenPojo [331] Open source framework used to validate and enforce POJO behavior as well as manage identity - equals, hashCode & toString. Pitest [332] Mutation testing framework for evaluating the quality of unit tests ...
The group performs cutting-edge research in the field of robot design, robot control, computer vision, simultaneous localization and mapping, motion planning. A spin-off venture from AGV, IIT Kharagpur - the San Francisco-based Auro Robotics (now acquired by RideCell), builds self-driving shuttles for university campuses in the United States.
A manipulator can move an object with up to 6 degrees of freedom (DoF), determined by 3 translation 3T and 3 rotation 3R coordinates for full 3T3R mobility. However, when a manipulation task requires less than 6 DoF, the use of lower mobility manipulators, with fewer than 6 DoF, may bring advantages in terms of simpler architecture, easier control, faster motion and lower cost. [2]
Codesys (spelled “CODESYS” by the manufacturer, previously “CoDeSys”) is an integrated development environment for programming controller applications according to the international industrial standard IEC 61131-3.
Multi-objective optimization or Pareto optimization (also known as multi-objective programming, vector optimization, multicriteria optimization, or multiattribute optimization) is an area of multiple-criteria decision making that is concerned with mathematical optimization problems involving more than one objective function to be optimized simultaneously.