Off-line programming (robotics)

Off-line programming (OLP) is a robot programming method where the robot program is created independent from the actual robot cell. The robot program is then uploaded to the real industrial robot for execution. In off-line programming, the robot cell is represented through a graphical 3D model in a simulator. Nowadays OLP and robotics simulator tools help robot integrators create the optimal program paths for the robot to perform a specific task.[1] Robot movements, reachability analysis, collision and near-miss detection and cycle time reporting can be included when simulating the robot program.

OLP does not interfere with production as the program for the robot is created outside the production process on an external computer.[2] This method contradicts to the traditional on-line programming of industrial robots where the robot teach pendant is used for programming the robot manually.[3] A common programming language such as Python, C++ or Matlab can be used to simulate and program any robot by defining the robot post processor.[4]

Offline Programming is the best way to maximize return on investment for robot systems and it requires appropriate simulation tools.[5] The time for the adoption of new programs can be cut from weeks to a single day, enabling the robotization of short-run production.

See also

Notes

  1. ↑ Bennett Brumson, Robotic Simulation and Off-line Programming: From Academia to Industry, 11/02/2009, http://www.robotics.org/content-detail.cfm/Industrial-Robotics-Featured-Articles/Robotic-Simulation-and-Off-line-Programming-From-Academia-to-Industry/content_id/1825 ,retr. 29.August 2014
  2. ↑ http://www.delfoi.com/web/solutions/robotiikka/en_GB/offline/, Delfoi, 2014 retr. 29.August 2014
  3. ↑ http://www.globalspec.com/learnmore/motion_controls/operator_interfaces/teach_pendants, retr. 29.August 2014 Globalspec, 2014
  4. ↑ https://www.robodk.com/offline-programming.php
  5. ↑ http://new.abb.com/products/robotics/robotstudio ABB RobotStudio
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