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A Simplified Taxonomy of Command and Control Structures for Robot Teams
, 2005
"... For a team to be effective, it must coordinate and cooperate in some fashion. Often this ability is a direct function of the way the team is put together. Selecting the right architecture is driven by many factors including the skill of the individual, ability to communicate, availability of resourc ..."
Abstract
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For a team to be effective, it must coordinate and cooperate in some fashion. Often this ability is a direct function of the way the team is put together. Selecting the right architecture is driven by many factors including the skill of the individual, ability to communicate, availability of resources, and the size of the team. In this paper, we examine the issue of command and control from the perspective of coordinating a team of robots. We look at the existing field of robotics and select several representative teams that cover the spectrum from teleoperation to peer to peer interaction. We identify and examine the mechanisms that facilitate coordination and define a taxonomy that describes the coordination complexity. Finally we look at the role of the human as he interacts with the team and how this interaction influences the coordination between members of the team.
729G50 ARTIFICIELL INTELLIGENS
"... Robots acting individually aswell as part of a team ..."
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Smart Monitoring of Complex Public Scenes Collaboration between Human Guards, Security Network and Robotic Platforms
"... Security operators are increasingly interested in solutions that can provide an automatic understanding of potentially crowded public environments. In this paper, an on-going re-search is presented, on building a complex system consists of three main components: human security operators carry-ing se ..."
Abstract
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Security operators are increasingly interested in solutions that can provide an automatic understanding of potentially crowded public environments. In this paper, an on-going re-search is presented, on building a complex system consists of three main components: human security operators carry-ing sensors, mobile robotic platforms carrying sensors and network of fixed sensors (i.e. cameras) installed in the envi-ronment. The main objectives of this research are: 1) to de-velop models and solutions for an intelligent integration of sensorial information coming from different sources, 2) to develop effective human-robot interaction methods in the paradigm multi-human vs. multi-robot, 3) to integrate all these components in a system that allows for robust and ef-ficient coordination among robots, vision sensors and hu-man guards, in order to enhance surveillance in crowded public environments.
