Experimental vision based robot system for arc welding

Kari Koskinen, Pekka Kohola, Juhani Hirvonen, Juhani Annanpalo, Hannu Lehtinen, Karri Vartiainen

Research output: Contribution to journalArticle in a proceedings journalScientificpeer-review

Abstract

An experimental visual seam tracking system for robotic arc welding has been developed. A visual sensor was constructed and mounted on the welding head of a robot. The sensor was interfaced with a microcomputer and the micro-computer was interfaced with the robot's control unit. Software was made for image processing and controlling the path of the robotduring welding inreal-time.
The welding robot is a Unimation Puma 560 robot. The operating system is VAL II, which allows receiving path control information from an external computer through a serial link. The robot basically follows a preprogrammed path and corrections to the path are transferred at intervals of 28 ms to the robot. The communication is carried out by its own processor.
The groove measurement system uses structured HeNe-laser light and the triangulation principle for the determination of the groove position and profile close to the arc. Fibre optics have been used for transferring laser light to the sensor head and image to the camera. Welding tests have been carried out for square butt and single V preparations, but the system has been designed to be applicable for fillet welds too. The seam tracking accuracy has been found to be about ± 0.5 mm in the horizontal plane and ± 1 mm in the vertical plane. The system is able to adapt to surfaces of different brightness. The image processing is performed in the 16-bit microcomputer. An image processing speed of 8 images per second has been reached
Original languageEnglish
Pages (from-to)123-130
JournalIFAC Proceedings Volumes
Volume19
Issue number9
DOIs
Publication statusPublished - 1986
MoE publication typeA4 Article in a conference publication
Event1st IFAC Workshop on Digital Image Processing in Industrial Applications - Espoo, Finland
Duration: 10 Jun 198612 Jun 1986
Conference number: 1

Fingerprint

Electric arc welding
Robots
Welding
Image processing
Microcomputers
Sensors
Lasers
Triangulation
Fiber optics
Luminance
Welds
Robotics
Cameras
Communication

Keywords

  • arc welding
  • visual sensors
  • seam tracking
  • robots

Cite this

Koskinen, K., Kohola, P., Hirvonen, J., Annanpalo, J., Lehtinen, H., & Vartiainen, K. (1986). Experimental vision based robot system for arc welding. IFAC Proceedings Volumes, 19(9), 123-130. https://doi.org/10.1016/S1474-6670(17)57519-9
Koskinen, Kari ; Kohola, Pekka ; Hirvonen, Juhani ; Annanpalo, Juhani ; Lehtinen, Hannu ; Vartiainen, Karri. / Experimental vision based robot system for arc welding. In: IFAC Proceedings Volumes. 1986 ; Vol. 19, No. 9. pp. 123-130.
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Koskinen, K, Kohola, P, Hirvonen, J, Annanpalo, J, Lehtinen, H & Vartiainen, K 1986, 'Experimental vision based robot system for arc welding', IFAC Proceedings Volumes, vol. 19, no. 9, pp. 123-130. https://doi.org/10.1016/S1474-6670(17)57519-9

Experimental vision based robot system for arc welding. / Koskinen, Kari; Kohola, Pekka; Hirvonen, Juhani; Annanpalo, Juhani; Lehtinen, Hannu; Vartiainen, Karri.

In: IFAC Proceedings Volumes, Vol. 19, No. 9, 1986, p. 123-130.

Research output: Contribution to journalArticle in a proceedings journalScientificpeer-review

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AB - An experimental visual seam tracking system for robotic arc welding has been developed. A visual sensor was constructed and mounted on the welding head of a robot. The sensor was interfaced with a microcomputer and the micro-computer was interfaced with the robot's control unit. Software was made for image processing and controlling the path of the robotduring welding inreal-time.The welding robot is a Unimation Puma 560 robot. The operating system is VAL II, which allows receiving path control information from an external computer through a serial link. The robot basically follows a preprogrammed path and corrections to the path are transferred at intervals of 28 ms to the robot. The communication is carried out by its own processor.The groove measurement system uses structured HeNe-laser light and the triangulation principle for the determination of the groove position and profile close to the arc. Fibre optics have been used for transferring laser light to the sensor head and image to the camera. Welding tests have been carried out for square butt and single V preparations, but the system has been designed to be applicable for fillet welds too. The seam tracking accuracy has been found to be about ± 0.5 mm in the horizontal plane and ± 1 mm in the vertical plane. The system is able to adapt to surfaces of different brightness. The image processing is performed in the 16-bit microcomputer. An image processing speed of 8 images per second has been reached

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