at Google ScholarTitle data
Riedelbauch, Dominik ; Sucker, Sascha:
Visual Programming of Robot Tasks with Product and Process Variety.
In: Schüppstuhl, Thorsten ; Tracht, Kirsten ; Fleischer, Jürgen
(ed.):
Annals of Scientific Society for Assembly, Handling and Industrial Robotics 2022. -
Cham
: Springer
,
2023
. - pp. 241-252
ISBN 978-3-031-10071-0
DOI: https://doi.org/10.1007/978-3-031-10071-0_20
Abstract in another language
In flexible manufacturing settings, automation is shaped by ever changing conditions (e.g. varying part feeding locations, highly customizable products). Quick adaptation of robot systems is mostly achieved by visual end-user robot (re-)programming. In this paper, we discuss the explicit integration of anticipated product and process variety into visually programmed tasks. We contribute a task model which captures a user-defined range of task variants. To this end, parts are specified in terms of approximate locations and generalized parts families. Workspace exploration and combinatorial assignment planning enable online adaptation to unknown environments. Our experiments show that this adaptation capability can increase the economical efficiency of cobot use.
Further data
| Item Type: | Article in a book |
|---|---|
| Refereed: | Yes |
| Keywords: | Flexible production; Visual programming; Intelligent robots; Robotik |
| Institutions of the University: | Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Computer Science > Chair Applied Computer Science III > Chair Applied Computer Science III - Univ.-Prof. Dr. Dominik Henrich Faculties Faculties > Faculty of Mathematics, Physics und Computer Science Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Computer Science Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Computer Science > Chair Applied Computer Science III |
| Result of work at the UBT: | Yes |
| DDC Subjects: | 000 Computer Science, information, general works > 004 Computer science |
| Date Deposited: | 14 Feb 2025 08:30 |
| Last Modified: | 15 Apr 2025 11:28 |
| URI: | https://eref.uni-bayreuth.de/id/eprint/91730 |