NDLI: A Simulation-Based Approach to Decision Support for Robot-Human Team Configuration

Content Provider	IEEE Xplore Digital Library
Author	Nieten, T. Fishwick, P.
Copyright Year	2007
Description	Author affiliation: Univ. of Florida, Gainesville (Nieten, T.)
Abstract	Missions that involve tasks such as search-and-rescue or reconnaissance have traditionally involved humans, perhaps with the assistance of one or more robots. The robots, or unmanned systems, are typically teleoperated - operated by remote control to inspect a suspicious object, for example. With the advent of newer and less expensive forms of autonomy and one-on-one communication, the robots are becoming more capable of acting as peers, rather than tools, alongside the humans. As the diversity of mixed human-robot teams is increased, so is the complexity of trying to decide on questions regarding configuration: what robots should be used, how many, and how many humans should be employed in the teaming process? We propose a decision support approach that builds a large number of discrete event simulations, with dynamic queuing models partially induced from CAD layout specifications in an urban environment. This work describes a detailed design with an implementation plan for the decision support.
Starting Page	485
Ending Page	490
File Size	317567
Page Count	6
File Format	PDF
ISBN	1424407893
DOI	10.1109/CIRA.2007.382890
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-06-20
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Humans US Government Robotics and automation Vehicles Military aircraft Computational intelligence Computational modeling Intelligent robots Weapons Fires
Content Type	Text
Resource Type	Article

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