Ontology design for task allocation and management in urban search and rescue missions

Elie Saad, Koen V. Hindriks, Mark A. Neerincx

Research output: Chapter in Book / Report / Conference proceedingConference contributionAcademicpeer-review

Abstract

Task allocation and management is crucial for human-robot collaboration in Urban Search And Rescue response efforts. The job of a mission team leader in managing tasks becomes complicated when adding multiple and different types of robots to the team. Therefore, to effectively accomplish mission objectives, shared situation awareness and task management support are essential. In this paper, we design and evaluate an ontology which provides a common vocabulary between team members, both humans and robots. The ontology is used for facilitating data sharing and mission execution, and providing the required automated task management support. Relevant domain entities, tasks, and their relationships are modeled in an ontology based on vocabulary commonly used by firemen, and a user interface is designed to provide task tracking and monitoring. The ontology design and interface are deployed in a search and rescue system and its use is evaluated by firemen in a task allocation and management scenario. Results provide support that the proposed ontology (1) facilitates information sharing during missions; (2) assists the team leader in task allocation and management; and (3) provides automated support for managing an Urban Search and Rescue mission.

LanguageEnglish
Title of host publicationICAART 2018 - Proceedings of the 10th International Conference on Agents and Artificial Intelligence
EditorsJaap van den Herik, Ana Paula Rocha
PublisherSciTePress
Pages622-629
Number of pages8
Volume2
ISBN (Electronic)9789897582752
DOIs
Publication statusPublished - 1 Jan 2018
Externally publishedYes
Event10th International Conference on Agents and Artificial Intelligence, ICAART 2018 - Funchal, Madeira, Portugal
Duration: 16 Jan 201818 Jan 2018

Conference

Conference10th International Conference on Agents and Artificial Intelligence, ICAART 2018
CountryPortugal
CityFunchal, Madeira
Period16/01/1818/01/18

Fingerprint

Ontology
Robots
User interfaces
Interfaces (computer)
Monitoring

Keywords

  • Human Robot Collaboration
  • Ontology
  • Rescue.
  • Task Management
  • Urban Search

Cite this

Saad, E., Hindriks, K. V., & Neerincx, M. A. (2018). Ontology design for task allocation and management in urban search and rescue missions. In J. van den Herik, & A. P. Rocha (Eds.), ICAART 2018 - Proceedings of the 10th International Conference on Agents and Artificial Intelligence (Vol. 2, pp. 622-629). SciTePress. https://doi.org/10.5220/0006661106220629
Saad, Elie ; Hindriks, Koen V. ; Neerincx, Mark A. / Ontology design for task allocation and management in urban search and rescue missions. ICAART 2018 - Proceedings of the 10th International Conference on Agents and Artificial Intelligence. editor / Jaap van den Herik ; Ana Paula Rocha. Vol. 2 SciTePress, 2018. pp. 622-629
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Saad, E, Hindriks, KV & Neerincx, MA 2018, Ontology design for task allocation and management in urban search and rescue missions. in J van den Herik & AP Rocha (eds), ICAART 2018 - Proceedings of the 10th International Conference on Agents and Artificial Intelligence. vol. 2, SciTePress, pp. 622-629, 10th International Conference on Agents and Artificial Intelligence, ICAART 2018, Funchal, Madeira, Portugal, 16/01/18. https://doi.org/10.5220/0006661106220629

Ontology design for task allocation and management in urban search and rescue missions. / Saad, Elie; Hindriks, Koen V.; Neerincx, Mark A.

ICAART 2018 - Proceedings of the 10th International Conference on Agents and Artificial Intelligence. ed. / Jaap van den Herik; Ana Paula Rocha. Vol. 2 SciTePress, 2018. p. 622-629.

Research output: Chapter in Book / Report / Conference proceedingConference contributionAcademicpeer-review

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Saad E, Hindriks KV, Neerincx MA. Ontology design for task allocation and management in urban search and rescue missions. In van den Herik J, Rocha AP, editors, ICAART 2018 - Proceedings of the 10th International Conference on Agents and Artificial Intelligence. Vol. 2. SciTePress. 2018. p. 622-629 https://doi.org/10.5220/0006661106220629