A Framework for Task Sequencing for Redundant Robotic Remote Laser Processing Equipment Based on Redundancy Space Sampling

Sigurd Lazic Villumsen*, Morten Kristiansen

*Corresponding author for this work

Research output: Contribution to journalConference article in JournalResearchpeer-review

4 Citations (Scopus)
257 Downloads (Pure)

Abstract

This paper presents a framework for task sequencing of redundant remote laser processing equipment. The task sequencing algorithm is based on generating sets of robot configuration samples on all processing contours. The sequencing is done by using a solver for the equality constrained generalized traveling salesman problem (E- GTSP) to find the shortest path between these sets, while taking process constraints, robot redundancy and cluster connectivity into consideration. The algorithm was implemented in Matlab with interfaces to the robot simulation program V-rep and the GLKH E-GTSP solver. A test was carried out with 38 contours on a work piece with a set of angled plateaus.

Original languageEnglish
JournalProcedia Manufacturing
Volume11
Pages (from-to)1826-1836
Number of pages11
ISSN2351-9789
DOIs
Publication statusPublished - 2017
Event16th Nordic Laser Materials Processing Conference, NOLAMP16 - Aalborg University, Aalborg, Denmark
Duration: 22 Aug 201724 Aug 2017
http://www.nolamp16.aau.dk/

Conference

Conference16th Nordic Laser Materials Processing Conference, NOLAMP16
LocationAalborg University
Country/TerritoryDenmark
CityAalborg
Period22/08/201724/08/2017
Internet address

Keywords

  • Path planning
  • Production planning
  • Redundancy
  • Remote laser cutting
  • Remote laser welding
  • Robotics
  • Scheduling

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