Analysis and design of human-robot swarm interaction in firefighting

NAGHSH, A. M., GANCET, J., TANOTO, A. and ROAST, C. (2008). Analysis and design of human-robot swarm interaction in firefighting. In: 17th IEEE International Symposium on Robot and Human Interactive Communications, Munich, Germany, 1-3 August 2008.

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In a variety of emergency settings robot assistance has been identified as highly valuable, providing remote, and thus safe, access and operation. There are many different forms of human-robot interactions, allowing a team of humans and robots to take advantage of skills of each team member. A relatively new area of research considers interactions between human and a team of robots performing as a swarm. This work is concerned with the interactive use of autonomous robots in fire emergency settings. In particular, we consider a swarm of robots that are capable of supporting and enhancing fire fighting operations co-operatively and we investigate how firefighters in the field work with such a swarm. This paper outlines some of the key characteristics of this emergency setting. It discusses possible forms of interactions with swarm robotics being examined in the GUARDIANS project. The paper addresses the use of assistive swarm robotics to support firefighters with navigation and search operations. It reports on existing firefighters operations and how human-swarm interactions are to be used during such operations. The design approaches for human-swarm interaction are described and the preliminary work in the area are outlined. The paper ends by linking current expertise with common features of emergency related interaction design.

Item Type: Conference or Workshop Item (Paper)
Additional Information: Institute of Electrical and Electronics Engineers
Research Institute, Centre or Group - Does NOT include content added after October 2018: Cultural Communication and Computing Research Institute > Communication and Computing Research Centre
Departments - Does NOT include content added after October 2018: Faculty of Science, Technology and Arts > Department of Computing
Depositing User: Ann Betterton
Date Deposited: 13 Dec 2010 13:46
Last Modified: 18 Mar 2021 21:00

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