• Sorted by Date • Classified by Publication Type • Classified by Topic • Sorted by First Author Last Name •
Irina Goldman, Samuel Barrett, and Jeffrey V. Nickerson. Optimization of Multi-Attribute Tasks for Underwater Motion of Robotic Sensor Agents. In IEEE International Conference on Intelligence and Security Informatics, pp. 374, May 2007.
Target detection, identification, and tracking are tasks of great importance in counterterrorism preparations. The development of a new generation of mobile autonomous wireless robotic sensor agents provides new advanced opportunities for target monitoring and tracking. We are particularly interested in the investigation of the underwater motion of the mobile robotic sensor agents. However, the trajectory of the underwater motion of a robotic sensor agent from the initial point to the destination significantly differs from the ground motion trajectory. Firstly, an underwater vehicle is affected by the current flow and its motion strongly depends on the structure of the river (cross-section shape, bottom type, etc) or ocean. Secondly, the battery power is limited and it almost impossible to recharge the batteries while the agent is underwater. Also, the time for robotic sensor agents to reach the target may be crucial. Consequently, finding the fastest path to the destination given a water stream is important. Thus, how should cluster of underwater robotic sensors move to optimize multi-attribute tasks?
@INPROCEEDINGS{ISI07-Goldman,
author={Irina Goldman and Samuel Barrett and Jeffrey V. Nickerson},
booktitle={IEEE International Conference on Intelligence and Security Informatics},
title={Optimization of Multi-Attribute Tasks for Underwater Motion of Robotic Sensor Agents},
year={2007},
month=may,
pages={374},
keywords={counterterrorism preparation;current flow;ground motion trajectory;mobile autonomous wireless robotic sensor agents;multiattribute task;optimization;river structure;target detection;target identification;target tracking;underwater motion;water stream;maximum principle;military systems;mobile robots;motion control;position control;target tracking;terrorism;time optimal control;},
doi={10.1109/ISI.2007.379510},
ISSN={},
abstract={
Target detection, identification, and tracking are tasks of great importance in
counterterrorism preparations. The development of a new generation of mobile
autonomous wireless robotic sensor agents provides new advanced opportunities
for target monitoring and tracking. We are particularly interested in the
investigation of the underwater motion of the mobile robotic sensor agents.
However, the trajectory of the underwater motion of a robotic sensor
agent from the initial point to the destination significantly differs
from the ground motion trajectory. Firstly, an underwater vehicle is
affected by the current flow and its motion strongly depends on the
structure of the river (cross-section shape, bottom type, etc) or ocean.
Secondly, the battery power is limited and it almost impossible to
recharge the batteries while the agent is underwater. Also, the time for
robotic sensor agents to reach the target may be crucial. Consequently,
finding the fastest path to the destination given a water stream
is important. Thus, how should cluster of underwater robotic
sensors move to optimize multi-attribute tasks?
}
}
Generated by bib2html.pl (written by Patrick Riley ) on Thu Nov 10, 2022 23:47:08