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Teachless teach-repeat: Toward Vision-Based Programming of Industrial Robots
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 autocalibration 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.
Cited literature [14 references]
https://hal.inria.fr/hal-00671209
Contributor : Mathias Perrollaz <>
Submitted on : Wednesday, May 16, 2012 - 7:00:08 AM
Last modification on : Thursday, November 19, 2020 - 1:00:27 PM
Long-term archiving on: : Wednesday, December 14, 2016 - 6:37:17 AM
Contributor : Mathias Perrollaz <>
Submitted on : Wednesday, May 16, 2012 - 7:00:08 AM
Last modification on : Thursday, November 19, 2020 - 1:00:27 PM
Long-term archiving on: : Wednesday, December 14, 2016 - 6:37:17 AM
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ICRA2012_teachRepeat_Final.pdf
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