Automatic Generation of Assembly Instructions by Analyzing Process Recordings – A Concept Overview

Procedia CIRP, vol. 126, pp. 775–780

Abstract

The manual generation of instructions for complex assembly processes requires time and effort. Therefore, many companies refrain from documenting assembly processes and rely on the tacit expert knowledge of their employees. Due to demographic changes, the capturing of this implicit knowledge becomes increasingly relevant to prevent expertise loss. In this paper, we present a data acquisition and processing concept for the automated generation of assembly instructions. First, the assembly process is recorded using cameras. Then, the recordings are analysed combining multiple machine vision applications for object and activity recognition. Finally, the results are merged and displayed as digital assembly instructions.

Authors 8

1. Peter Burggräf Aachen Laboratory for Machine Tools and Production Engineering (WZL)

   University of Siegen · RWTH Aachen University

   Affiliation as printed

   Chair of International Production Engineering and Management (IPEM), University of Siegen, Siegener Straße 152, 57223 Kreuztal, Germany

   Laboratory for Machine Tools and Production Engineering (WZL) of RWTH Aachen University, Campus-Boulevard 30, 52074 Aachen, Germany

2. Tobias Adlon Aachen Laboratory for Machine Tools and Production Engineering (WZL)

   RWTH Aachen University

   Affiliation as printed

   Laboratory for Machine Tools and Production Engineering (WZL) of RWTH Aachen University, Campus-Boulevard 30, 52074 Aachen, Germany

3. Fabian Steinberg

   University of Siegen

   Affiliation as printed

   Chair of International Production Engineering and Management (IPEM), University of Siegen, Siegener Straße 152, 57223 Kreuztal, Germany

4. Florian Broehl corresponding Aachen Laboratory for Machine Tools and Production Engineering (WZL)

   RWTH Aachen University

   Affiliation as printed

   Laboratory for Machine Tools and Production Engineering (WZL) of RWTH Aachen University, Campus-Boulevard 30, 52074 Aachen, Germany

5. Alexander Moriz Aachen Laboratory for Machine Tools and Production Engineering (WZL)

   RWTH Aachen University

   Affiliation as printed

   Laboratory for Machine Tools and Production Engineering (WZL) of RWTH Aachen University, Campus-Boulevard 30, 52074 Aachen, Germany

6. Carsten Engeln Aachen Laboratory for Machine Tools and Production Engineering (WZL)

   RWTH Aachen University

   Affiliation as printed

   Laboratory for Machine Tools and Production Engineering (WZL) of RWTH Aachen University, Campus-Boulevard 30, 52074 Aachen, Germany

7. Maximilian Schütz

   University of Siegen

   Affiliation as printed

   Chair of International Production Engineering and Management (IPEM), University of Siegen, Siegener Straße 152, 57223 Kreuztal, Germany

8. Felix Jaworek Aachen Laboratory for Machine Tools and Production Engineering (WZL)

   RWTH Aachen University

   Affiliation as printed

   Laboratory for Machine Tools and Production Engineering (WZL) of RWTH Aachen University, Campus-Boulevard 30, 52074 Aachen, Germany