Automated Control and Simulation of Dynamic Robot Teams in the Domain of CFK Production
Roland Gl\"uck, Marian K\"orber
TL;DR
This paper presents an automated workflow for controlling and simulating robot teams in CFK aircraft production, integrating CAD data, scheduling, visualization, and error detection to improve manufacturing efficiency.
Contribution
It introduces a novel integrated workflow combining CAD data extraction, task scheduling with PDDL, and visualization in Blender for CFK production automation.
Findings
Effective automation of pick and place in CFK manufacturing
Improved error detection through visualization
Streamlined scheduling and simulation process
Abstract
This paper is concerned with the automation and simulation of pick and place processes in the domain of CFK aircraft production. We introduce a workflow which starts from a CAD construction, extracts relevant data out of it, assigns grippers to the CFK pieces and schedules the single steps using a PDDL solver. Finally, the result is visualized in Blender where also prior mistakes can be identified.
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Taxonomy
TopicsManufacturing Process and Optimization · Flexible and Reconfigurable Manufacturing Systems · Advanced Manufacturing and Logistics Optimization