Name
Abstract | ||
|---|---|---|
Modern programming of industrial robots is often based on the teach-repeat paradigm: a human operator places the robot in many key positions, for teaching its task. Then the robot can repeat a path defined by these key positions. This paper proposes a vision-based approach for the automation of the teach stage. The approach relies on a constant auto-calibration of the system. Therefore, the only requirement is a precise geometrical description of the part to process. The realism of the approach is demonstrated through the emulation of a glue application process with an industrial robot. Results in terms of precision are very promising. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1109/ICRA.2012.6224639 | 2012 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA) |
Keywords | Field | DocType |
end effectors,mathematical model,production lines,human robot interaction,robot kinematics,computational geometry | Social robot,Personal robot,Robot kinematics,Robot end effector,Control engineering,Industrial robot,Engineering,Robot,Human–robot interaction,Mobile robot | Conference |
Volume | Issue | ISSN |
2012 | 1 | 1050-4729 |
Citations | PageRank | References |
6 | 0.52 | 9 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Mathias Perrollaz | 1 | 191 | 12.90 |
| Sami Khorbotly | 2 | 8 | 3.73 |
| Amber Cool | 3 | 6 | 0.52 |
| John-david Yoder | 4 | 113 | 8.97 |
| Eric T. Baumgartner | 5 | 173 | 20.05 |