Krishnamoorthy Kalyanam

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This document describes the motivation, theoretical description, development, and field test of a system utilizing multiple Unmanned Aerial Vehicles (UAV)s that cooperate with each other, using Unattended Ground Sensors (UGS), to monitor an area, detect intruder vehicles, capture imagery of the intruders, and deliver that imagery to the home base. Since the(More)
We consider a Persistent Intelligence, Surveillance and Reconnaissance (PISR) routing problem, which includes collecting data from a set of specified task locations and delivering that data to a control station. Each task is assigned a refresh rate based on its priority, where higher priority tasks require higher refresh rates. The UAV team's objective is(More)
We are interested in the persistent surveillance of an area of interest comprised of heterogeneous tasks (or targets) that need to be completed (or visited) in a repeated manner subject to constraints on time between successive visits. The task is undertaken by a set of heterogeneous UAVs which autonomously execute the mission. In addition to geographically(More)
A novel mixed initiative optimal control system for intelligence, surveillance and reconnaissance (ISR) operations which entails human-machine teaming has been developed. The scenario entails a camera-equipped unmanned air vehicle sequentially overflying geolocated objects of interest, which need to be classified as either a true or false target by a human(More)
Myoungkuk Park Department of Mechanical Engineering, Texas A&M University, College Station, TX 77843, Krishnamoorthy Kalyanam Infoscitex Corporation, Dayton, OH 45431, Swaroop Darbha Department of Mechanical Engineering, Texas A&M University, College Station, TX 77843, Phil Chandler Control(More)
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