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The Robotics Certification Standards Alliance (RCSA) is a global company that has been actively providing robotics curricula, training, online testing systems and certification since 1998. RCSA first started with partnerships with Motoman and Private Career Colleges in Canada. The partnerships grew to have included ABB, Motoman and Panasonic.
The Yaskawa Electric Corporation (株式会社安川電機, Kabushiki-gaisha Yasukawa Denki) is a Japanese manufacturer of servos, motion controllers, AC motor drives, switches and industrial robots. Their Motoman robots are heavy duty industrial robots used in welding, packaging, assembly, coating, cutting, material handling and general ...
ROS-I is supported by an international Consortium of industry and research members. The project began as a collaborative endeavor between Yaskawa Motoman Robotics, Southwest Research Institute, and Willow Garage to support the use of ROS for manufacturing automation, with the GitHub repository being founded in January 2012 by Shaun Edwards (SwRI).
Troubleshooting is a form of problem solving, often applied to repair failed products or processes on a machine or a system. It is a logical, systematic search for the source of a problem in order to solve it, and make the product or process operational again. Troubleshooting is needed to identify the symptoms.
AOL Mail uses many security measures to keep your account secure, one of which is CAPTCHA or image challenges when sending mail. These challenges exist to make it harder for hackers to access your accounts.
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.
Robot calibration can remarkably improve the accuracy of robots programmed offline. A calibrated robot has a higher absolute as well as relative positioning accuracy compared to an uncalibrated one; i.e., the real position of the robot end effector corresponds better to the position calculated from the mathematical model of the robot.
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]