Title data
Riedelbauch, Dominik ; Henrich, Dominik:
Fast Graphical Task Modelling for Flexible Human-Robot Teaming.
In:
50th International Symposium on Robotics. -
München
,
2018
. - pp. 1-6
Project information
Project title: |
Project's official title Project's id FlexCobot No information |
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Abstract in another language
Human-robot cooperation is a trending topic in robotics research. Recent works mainly focus the execution phase, where human and robot actions need to be planned and coordinated based on given task models. In contrast, we discuss an approach to fast creation of task models suitable for flexible human-robot teaming: Inspired by graphical robot application programming, non-experts may parametrize domain-dependent parts and operations within a 3D representation of the workplace. Operations are then ordered to form a task represented as assembly precedence graph using an icon-based editor. This editor moreover supports proper workplace setup, so that the resulting model is ready for small-batch execution by human-robot teams. We show that our contribution provides a fast and powerful approach to flexibly setup shared tasks for complex pick&place jobs by measuring intuitiveness and average modelling times in a user study.
Further data
Item Type: | Article in a book |
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Refereed: | Yes |
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: | 18 Feb 2025 10:35 |
Last Modified: | 15 Apr 2025 11:32 |
URI: | https://eref.uni-bayreuth.de/id/eprint/92432 |