www.uhasselt.be
DSpace

Document Server@UHasselt >
Research >
Research publications >

Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/21492

Title: Toward Specifying Human-Robot Collaboration with Composite Events
Authors: Van den Bergh, Jan
Cuenca Lucero, Fredy
Luyten, Kris
Coninx, Karin
Issue Date: 2016
Publisher: IEEE
Citation: Proceedings of the IEEE International Symposium on Robot and Human Interactive Communication RO-MAN 2016
Series/Report: IEEE Xplore
Abstract: Human-Robot Collaboration is increasingly considered in manufacturing to better combine the strengths of humans and robots. Establishing this human-robot collaboration may require multi-modal interaction; input to and output from the robot can both use multiple channels in sequence or in parallel. Designing effective interaction requires the expertise from different domains, possibly originating from people with different backgrounds. In our work we explore how composite events — hierarchical composition of events — can be used in a way that eases the communication within a multi-disciplinary team. In this paper, we present how the concept of composite events can be used to create different layers of abstraction that can be used to ease prototyping and discussion of human-robot collaboration with stakeholders through a supporting tool called Hasselt UIMS. At the lower level(s) of abstraction, the composite events can be mapped to the message-based communication as implemented in the Robotic Operating System (ROS), which is used to program collaborative robots, such as the Baxter robot from Rethink Robotics.
Notes: Van den Bergh, J (reprint author), Univ Hasselt, tUL iMinds, Expertise Ctr Digital Media, Wetenschapspk 2, B-3590 Diepenbeek, Belgium. jan.vandenbergh@uhasselt.be; fqnk@yahoo.com; kris.luyten@uhasselt.be; karin.coninx@uhasselt.be
URI: http://hdl.handle.net/1942/21492
DOI: 10.1109/ROMAN.2016.7745225
ISI #: 000390682500122
ISBN: 9781509039302
ISSN: 1944-9437
Category: C1
Type: Proceedings Paper
Appears in Collections: Research publications

Files in This Item:

Description SizeFormat
Published version314.01 kBAdobe PDF
Peer-reviewed author version310.65 kBAdobe PDF

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.