

Type of Document Master's Thesis Author Kim, Jong-Hoon Author's Email Address jkim24@lsu.edu URN etd-11112008-121037 Title Design of a Fully Autonomous Mobile Pipeline Exploration Robot (FAMPER) Degree Master of Science in Systems Science (M.S.S.S.) Department Computer Science Advisory Committee
Advisor Name Title Sitharama S. Iyengar Committee Chair Ahmed A. El-Amawy Committee Member Brygg Ullmer Committee Member Keywords
- robostix
- gumstix
- wall pressed
- caterpillar track
- in-pipe inspection
Date of Defense 2008-10-31 Availability unrestricted Abstract Pipelines have been an integral part of our constructions for many centuries. However,need to be maintained, and the cost of maintenance continues to increase. Robots have been
considered as an attractive alternative, and many different types of pipeline robots have been
proposed in the past. Unfortunately many of them work under only very restricted environments
such as customized pipelines, often have no vertical mobility, or can traverse through only a
simple pipeline structure due to wired control.
This thesis presents the design and implementation of a robot based on novel idea we call
“caterpillar navigational mechanism”. A Fully Autonomous Mobile Pipeline Exploration Robot
(FAMPER), for exploring pipeline structures autonomously has been built and its performance
has been evaluated. We present the design of a robot based on wall-pressed caterpillar type for
not only horizontal, but also vertical mobility in pipeline elements such as straight pipelines,
elbows and branches, and its autonomous navigational system providing useful information for
pipeline maintenance.
FAMPER has been designed for 6 inch sewer pipes, which are predominantly used in
urban constructions. The proposed design enables FAMPER to display formidable mobility and
controllability in most of the existing structure of pipeline, and provides a spacious body for
housing various electronic devices. Specifically, FAMPER is equipped with several sensors, and
a high performance processor for autonomous navigation. We have performed experiments to
evaluate the effectiveness of our architecture and we present here a discussion of the performed
results.
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