Deadline:
March 17, 2004
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Summer 2004 Research
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Project Title:
Design of Intelligent Robotic Teams Using Markov Decision Processes
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Primary Investigators:
Xenofon Koutsoukos
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Brief Description of Project:
Intelligent robotic teams are distributed real-time embedded systems that
must be able to perform complex tasks without human intervention. Application examples include space
exploration and autonomous search and rescue teams. Design of such systems faces significant challenges due
to the uncertainty and variability inherent in the environment and the machines. Markov decision processes
are analytical models that provide tools for reasoning about discrete, continuous, and probabilistic
behaviors and they can be used to design intelligent robots.
The goal of this project is to learn Markov decision processes, understand how they can be applied for
control and coordination, develop methods for designing intelligent robotic behaviors, and demonstrate the
behavior using experimental results.
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Nature of Supervision:
One-on-one and reporting on progress at project meetings.
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A Brief Research Plan (period is for 10 weeks):
1-3: Learning about current ad hoc wireless sensor network technology including the Motes platform and
TinyOS.
4-6: Modeling aspects of trustworthy sensor networks. Possible aspects of concentration include data
centric adaptive routing, security properties such as authentication and encryption, and adaptive
middleware that guarantees quality of service (QoS ).
7-9: Performing simulation experiments for large scale networks to characterize the dynamics of
computational, communication, and power resources and the trustworthiness of the applications.
10: Documentation of results
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Number of Open Slots:
1
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Contact Information:
Xenofon Koutsoukos
Assistant Professor
Department of Electrical Engineering and Computer Science
Institute for Software Integrated Systems
Xenofon.Koutsoukos@vanderbilt.edu
(615) 322-8283
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