Collision-free robot coordination and visualization tools for robust cycle time optimization
Artikel i vetenskaplig tidskrift, 2021

This paper presents novel algorithms and visualization tools for avoiding collisions and minimizing cycle time in multi-robot stations by velocity tuning of robot motions. These tools have the potential to support product/manufacturing engineers in the practical task of adding synchronization instructions to robot programs to overcome the challenges in terms of product design, cycle time, quality control, and maintenance including re-usability of coordination schemes. We propose a range of techniques to achieve that, when additional requirements make the best coordination strategy hard to be chosen. Indeed, our main contributions are (i) considering and minimizing delays introduced by limitation in hardware synchronization mechanisms, (ii) highlighting insights on the relationship between a 3D working space and a path coordination space, and (iii) a computational tool for visualization of shared areas in both work space and path coordination space. Different strategies based on the developed algorithms are evaluated by successfully automatically solving industrial test cases from inspection measurement applications in the automotive industry. A study about how cycle time robustness is significantly influenced by variation in the robot motion execution times is also given.

geometric reasoning

manufacturing automation

manufacturing planning

computer-aided manufacturing

Författare

Domenico Spensieri

Chalmers, Industri- och materialvetenskap, Produktutveckling

Edvin Åblad

Chalmers, Matematiska vetenskaper, Tillämpad matematik och statistik

Jonas Kressin

Stiftelsen Fraunhofer-Chalmers Centrum för Industrimatematik

Johan Carlson

Stiftelsen Fraunhofer-Chalmers Centrum för Industrimatematik

Chalmers, Industri- och materialvetenskap, Produktutveckling

Alf Andersson

Volvo Car Group

Journal of Computing and Information Science in Engineering

1530-9827 (ISSN)

Vol. 21 4

Ämneskategorier

Annan maskinteknik

Robotteknik och automation

Datavetenskap (datalogi)

Drivkrafter

Hållbar utveckling

Styrkeområden

Produktion

DOI

10.1115/1.4050047

Mer information

Skapat

2021-02-23