Ontological Reasoning for Human-Robot Teaming in Search and Rescue Missions

Timi Bagosi; Koen Hindriks; Mark Neerincx

doi:10.1109/HRI.2016.7451873

Ontological Reasoning for Human-Robot Teaming in Search and Rescue Missions

Timi Bagosi, Koen Hindriks, Mark Neerincx

Interactive Intelligence

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

14 Citations (Scopus)

Abstract

In search and rescue missions robots are used to help rescue workers in exploring the disaster site. Our research focuses on how multiple robots and rescuers act as a team, and build up situation awareness. We propose a multi-agent system where each agent supports one member, either human or robot. For
representing high-level information about the mission, we design an ontology that serves as a shared knowledge base for the agents. We investigate how to create agent-based ontological reasoning to provide team members with decision support, automate basic monitoring tasks, and realize the display logic that dictates how to display useful information for the rescuers, based on their
different roles, tasks and situations.

Original language	English
Title of host publication	Proceedings - HRI '16
Subtitle of host publication	11th ACM/IEEE International Conference on Human Robot Interaction
Place of Publication	Piscataway, NJ
Publisher	IEEE
Pages	595-596
Number of pages	2
ISBN (Electronic)	978-1-4673-8370-7
DOIs	https://doi.org/10.1109/HRI.2016.7451873
Publication status	Published - 2016
Event	HRI 2016: 11th ACM/IEEE International Conference on Human Robot Interaction (HRI 2016) - Chateau on the Park hotel, Christchurch, New Zealand Duration: 7 Mar 2016 → 10 Mar 2016 Conference number: 11 http://humanrobotinteraction.org/2016/

Conference

Conference	HRI 2016
Abbreviated title	HRI
Country/Territory	New Zealand
City	Christchurch
Period	7/03/16 → 10/03/16
Internet address	http://humanrobotinteraction.org/2016/

Keywords

Robots
Ontologies
Cognition
Monitoring
Multi-agent systems
Decision making
Automation

Access to Document

10.1109/HRI.2016.7451873

Cite this

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title = "Ontological Reasoning for Human-Robot Teaming in Search and Rescue Missions",

abstract = "In search and rescue missions robots are used to help rescue workers in exploring the disaster site. Our research focuses on how multiple robots and rescuers act as a team, and build up situation awareness. We propose a multi-agent system where each agent supports one member, either human or robot. Forrepresenting high-level information about the mission, we design an ontology that serves as a shared knowledge base for the agents. We investigate how to create agent-based ontological reasoning to provide team members with decision support, automate basic monitoring tasks, and realize the display logic that dictates how to display useful information for the rescuers, based on theirdifferent roles, tasks and situations.",

keywords = "Robots, Ontologies, Cognition, Monitoring, Multi-agent systems, Decision making, Automation ",

author = "Timi Bagosi and Koen Hindriks and Mark Neerincx",

year = "2016",

doi = "10.1109/HRI.2016.7451873",

language = "English",

pages = "595--596",

booktitle = "Proceedings - HRI '16",

publisher = "IEEE",

address = "United States",

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url = "http://humanrobotinteraction.org/2016/",

}

Ontological Reasoning for Human-Robot Teaming in Search and Rescue Missions. / Bagosi, Timi; Hindriks, Koen; Neerincx, Mark.
Proceedings - HRI '16: 11th ACM/IEEE International Conference on Human Robot Interaction. Piscataway, NJ: IEEE, 2016. p. 595-596.

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

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AU - Neerincx, Mark

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KW - Robots

KW - Ontologies

KW - Cognition

KW - Monitoring

KW - Multi-agent systems

KW - Decision making

KW - Automation

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DO - 10.1109/HRI.2016.7451873

M3 - Conference contribution

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CY - Piscataway, NJ

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Y2 - 7 March 2016 through 10 March 2016

ER -

Ontological Reasoning for Human-Robot Teaming in Search and Rescue Missions

Abstract

Conference

Keywords

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