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Fast Graphical Task Modelling for Flexible Human-Robot Teaming

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

Official URL: Volltext

Project information

Project title:
Project's official title
Project's id
FlexCobot
No information

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
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