Peter Stone's Selected Publications

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Flood Disaster Mitigation: A Real-world Challenge Problem forMulti-Agent Unmanned Surface Vehicles

Paul Scerri, Balajee Kannan, Pras Velagapudi, KateMacarthur, Peter Stone, Matthew E. Taylor, John Dolan andAlessandro Farinelli, Archie Chapman, Bernadine Dias, and GeorgeKantor. Flood Disaster Mitigation: A Real-world Challenge Problem forMulti-Agent Unmanned Surface Vehicles. In Proceedings of the Autonomous Robots and MultirobotSystems workshop (at AAMAS-11), May 2011.
ARMS-11

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Abstract

As we advance the state of technology for robotic systems,there is a need for defining complex real-world challenge problems forthe multi-agent/robot community to address. A well-dfined challengeproblem can motivate researchers to aggressively address and overcomecore domain challenges that might otherwise take years to solve. Asthe focus of multi-agent research shifts from the mature domains ofUGV and UAVs to USVs, there is a need for outlining well-dened andrealistic challenge problems. In this position paper, we define onesuch problem, food disaster mitigation. The ability to respond quicklyand efectively to disasters is essential to saving lives and limitingthe scope of damage. The nature of floods dictates the need for afleet of low-cost and small autonomous boats that can providesituational awareness (SA), damage assessment and deliver suppliesbefore more traditional emergency response assets can access an aectedarea. In addition to addressing an essential need, the outlinedapplication provides an interesting challenge problem for advancingfundamental research in multi-agent systems (MAS) specic to the USVdomain. In this paper, we dene a technical statement of this MASchallenge problem based and outline MAS specic technical constraintsbased on the associated real-world constraints. Core MAS sub-problemsthat must be solved for this application include coordination,control, human interaction, autonomy, task allocation, andcommunication. This problem provides a concrete and real-world MASapplication that will bring together researchers with a diverse rangeof expertise to develop and implement the necessary algorithms andmechanisms.

BibTeX Entry

@inproceedings{ARMS11-Scerri,
  author="Paul Scerri and Balajee Kannan and Pras Velagapudi and Kate
Macarthur and Peter Stone and Matthew E.\ Taylor and John Dolan and
Alessandro Farinelli and Archie Chapman and Bernadine Dias and George
Kantor",
  title="Flood Disaster Mitigation: A Real-world Challenge Problem for
Multi-Agent Unmanned Surface Vehicles",
  Booktitle="Proceedings of the Autonomous Robots and Multirobot
Systems workshop (at AAMAS-11)",
  month = "May",
  year="2011",
  abstract="As we advance the state of technology for robotic systems,
there is a need for defining complex real-world challenge problems for
the multi-agent/robot community to address. A well-dfined challenge
problem can motivate researchers to aggressively address and overcome
core domain challenges that might otherwise take years to solve. As
the focus of multi-agent research shifts from the mature domains of
UGV and UAVs to USVs, there is a need for outlining well-dened and
realistic challenge problems. In this position paper, we define one
such problem, food disaster mitigation. The ability to respond quickly
and efectively to disasters is essential to saving lives and limiting
the scope of damage. The nature of floods dictates the need for a
fleet of low-cost and small autonomous boats that can provide
situational awareness (SA), damage assessment and deliver supplies
before more traditional emergency response assets can access an aected
area. In addition to addressing an essential need, the outlined
application provides an interesting challenge problem for advancing
fundamental research in multi-agent systems (MAS) specic to the USV
domain. In this paper, we dene a technical statement of this MAS
challenge problem based and outline MAS specic technical constraints
based on the associated real-world constraints. Core MAS sub-problems
that must be solved for this application include coordination,
control, human interaction, autonomy, task allocation, and
communication. This problem provides a concrete and real-world MAS
application that will bring together researchers with a diverse range
of expertise to develop and implement the necessary algorithms and
mechanisms.",
  wwwnote={<a href="http://www.alg.ewi.tudelft.nl/arms2011/">ARMS-11</a>},
}

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