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Recognition of Human-Robot Motion Intentions by Trajectory Observation
Örebro University, School of Science and Technology, Örebro University, Sweden. (AASS)
Örebro University, School of Science and Technology, Örebro University, Sweden. (AASS)
Örebro University, School of Science and Technology, Örebro University, Sweden. (AASS)ORCID iD: 0000-0003-0217-9326
2016 (English)In: 2016 9th International Conference on Human System Interactions, HSI 2016: Proceedings, New York: Institute of Electrical and Electronics Engineers (IEEE), 2016, 229-235 p.Conference paper (Refereed)
Abstract [en]

The intention of humans and autonomous robots to interact in shared spatial areas is a challenging field of research regarding human safety, system stability and performance of the system's behavior. In this paper the intention recognition between human and robot from the control point of view are addressed and the time schedule of the exchanged signals is discussed. After a description of the kinematic and geometric relations between human and robot a so-called 'compass dial' with the relative velocities is presented from which suitable fuzzy control rules are derived. The computation of the collision times at intersections and possible avoidance strategies are further discussed. Computations based on simulated and experimental data show the applicability of the methods presented.

Place, publisher, year, edition, pages
New York: Institute of Electrical and Electronics Engineers (IEEE), 2016. 229-235 p.
Series
Conference on Human System Interaction
Keyword [en]
Human robot interaction, human intentions, obstacle avoidance, fuzzy rules
National Category
Computer and Information Science
Research subject
Computer Science
Identifiers
URN: urn:nbn:se:oru:diva-53700DOI: 10.1109/HSI.2016.7529636ISI: 000392278000029ScopusID: 2-s2.0-84992193870ISBN: 9781509017294 (print)OAI: oai:DiVA.org:oru-53700DiVA: diva2:1051078
Conference
The 9th International Conference on Human System Interaction (HSI2016), Portsmouth, UK, July 6-8, 2016
Projects
Action and Intention Recognition in Human Interaction with Autonomous Systems
Note

Funding Agency:

AIR-project Action and Intention Recognition in Human Interaction with Autonomous Systems

Available from: 2016-12-01 Created: 2016-12-01 Last updated: 2017-03-06Bibliographically approved

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Palm, RainerChadalavada, RaviLilienthal, Achim
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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