DocumentCode
716422
Title
Model-based feed-forward and setpoint generation in a multi-robot sewing cell
Author
Schrimpf, Johannes ; Bjerkeng, Magnus ; Lind, Morten ; Mathisen, Geir
Author_Institution
Dept. of Eng. Cybern., Norwegian Univ. of Sci. & Technol., Trondheim, Norway
fYear
2015
fDate
26-30 May 2015
Firstpage
2027
Lastpage
2033
Abstract
This paper describes an automated sewing system that focuses on sewing of curved edge segments. The sewing cell includes an industrial sewing machine as well as three industrial robots that handle the parts during the sewing process. Based on experiences from previous work, several improvements are presented that address issues with previous implementations. The main contribution concerning the control system is a model-based generation of the feed-forward velocity for the robot tool movement, based on a geometric description of the parts. This approach increases performance, especially in the case of curved fabric, as well as robustness in case of faulty sensor data. Additionally, this paper describes hardware upgrades that address mechanical challenges that were described in former publications. Finally, the paper presents experiments comparing the model-based control approach with the former control system based on constant feed-forwards velocity and setpoints.
Keywords
feedforward; geometry; industrial robots; multi-robot systems; sewing machines; automated sewing system; curved edge segments; curved fabric; faulty sensor data; feedforward velocity; geometric description; hardware upgrades; industrial robots; industrial sewing machine; model-based control approach; multirobot sewing cell; robot tool movement; setpoint generation; Force; Image edge detection; Needles; Robot sensing systems; Sensor systems; Service robots;
fLanguage
English
Publisher
ieee
Conference_Titel
Robotics and Automation (ICRA), 2015 IEEE International Conference on
Conference_Location
Seattle, WA
Type
conf
DOI
10.1109/ICRA.2015.7139464
Filename
7139464
Link To Document