Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Ontology-based situation awareness support for shared control: Extended abstract
KTH, School of Computer Science and Communication (CSC), Computer Vision and Active Perception, CVAP. KTH, School of Computer Science and Communication (CSC), Centres, Centre for Autonomous Systems, CAS.ORCID iD: 0000-0002-0483-8391
2017 (English)In: ACM/IEEE International Conference on Human-Robot Interaction, IEEE Computer Society , 2017, 289-290 p.Conference paper (Refereed)
Abstract [en]

Situation Awareness (SA) during tele-operation in robot-assisted disaster management has a major impact on the effectiveness and efficiency. Data perceived by the human and robot agents should be processed and shared in such a way that these agents can understand and direct the other agent's behaviors. E.g., for safe and effective tele-operation, the human (team leader and/or operator) and robot need to be aware of (1) the state, location, position and movement of the robot platform and its arms, and (2) the state of robot's environment (such as obstacles, ...). This paper presents an SA-ontology that formalizes the effects of SA-components on the shared control performance. It is based on literature research, interviews with subject matter experts and a field test during a disaster management exercise. The SA-ontology captured all information needs for the teleoperation, and provided further requirements for SA-support functions.

Place, publisher, year, edition, pages
IEEE Computer Society , 2017. 289-290 p.
Keyword [en]
arm, ontology, situation awareness, support, tele-operation, ugv, Disaster prevention, Disasters, Man machine systems, Robots, Supports, Disaster management, Effectiveness and efficiencies, Extended abstracts, Literature researches, Ontology-based, Subject matter experts, Support functions, Human robot interaction
National Category
Robotics
Identifiers
URN: urn:nbn:se:kth:diva-208036DOI: 10.1145/3029798.3038431ScopusID: 2-s2.0-85016389324ISBN: 9781450348850 OAI: oai:DiVA.org:kth-208036DiVA: diva2:1104663
Conference
12th Annual ACM/IEEE International Conference on Human-Robot Interaction, HRI 2017, 6 March 2017 through 9 March 2017
Note

QC 20170601

Available from: 2017-06-01 Created: 2017-06-01 Last updated: 2017-06-01Bibliographically approved

Open Access in DiVA

No full text

Other links

Publisher's full textScopushttp://humanrobotinteraction.org/2017/

Search in DiVA

By author/editor
Båberg, Fredrik
By organisation
Computer Vision and Active Perception, CVAPCentre for Autonomous Systems, CAS
Robotics

Search outside of DiVA

GoogleGoogle Scholar

Altmetric score

Total: 2 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf