Keywords

Autonomous, Environment, MAS, Mapping, Simulation, UAV

Abstract

UAV units are by many researchers and aviation specialists considered the future and cutting edge of modern flight technology. This thesis discusses methods for efficient autonomous environmental mapping in a multi-agent domain. An algorithm that emphasizes on team work by sharing the agents local map information and exploration intentions is presented as a solution to the mapping problem. General theories on how to model and implement rational autonomous behaviour for UAV agents are presented. Three different human and tactical behaviour modeling techniques are evaluated. The author found the CxBR paradigm to be the most interesting approach. Also, in order to test and quantify the theories presented in this thesis a simulation environment was developed. This simulation software allows for UAV agents to operate in a visual 3-D environment with mountains, other various terrain types, danger points and enemies to model unexpected events.

Notes

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Graduation Date

2004

Semester

Spring

Advisor

Boloni, Ladislau

Degree

Master of Science (M.S.)

College

College of Engineering and Computer Science

Department

Electrical and Computer Engineering

Degree Program

Electrical and Computer Engineering

Format

application/pdf

Identifier

CFE0000051

URL

http://purl.fcla.edu/fcla/etd/CFE0000051

Language

English

Release Date

May 2004

Length of Campus-only Access

None

Access Status

Masters Thesis (Open Access)

Subjects

Dissertations, Academic -- Engineering and Computer Science; Engineering and Computer Science -- Dissertations, Academic

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