Masters Theses
Keywords and Phrases
HRI; Human-Robot Interaction; SAR; Search and Rescue; UAV; Unmanned Aerial Vehicle
Abstract
"Human-robot applications that allow for work to be done remotely are largely dependent on the lassitude of the operators. The exhaustion of these operators is a result of work completion and duration. Previous research attempts to evaluate the impact on reaction by quantiying human weariness. This paper examines how human weariness affects the human-robot dynamic in UAV-assisted search and rescue missions. An explanation of the connection between mental exhaustion and operator responsiveness over prolonged durations is provided by the search and rescue operations using UAV swarms (SAROUS) model. Through the use of artificial intelligence, SAROUS is modernized. This allows the operation framework to automate procedures and, in theory, lessen operator workload. Further improvements are made on SAROUS using M/M/1 queuing theory and PID controller design to target an exchange that favors both low operator fatigue and high productivity. Simulation results show that a trade-off exists between operator fatigue, task correctness, and operation timeliness; the proposed SAROUS model is effective in managing those trade-offs whilst providing high performance"--Abstract, p.iii
Advisor(s)
Zawodniok, Maciej Jan, 1975-
Committee Member(s)
Alsharoa, Ahmad
Adekpedjou, Akim
Department(s)
Electrical and Computer Engineering
Degree Name
M.S. in Computer Engineering
Publisher
Missouri University of Science and Technology
Publication Date
Spring 2025
Pagination
x, 52 pages
Note about bibliography
Includes_bibliographical_references_(pages 57-61)
Rights
©2024 Jordan Morrow , All Rights Reserved
Document Type
Thesis - Open Access
File Type
text
Language
English
Thesis Number
T 12465
Recommended Citation
Morrow, Jordan, "Improving The Operator-Swarm Dynamic Under Mental Fatigue Constraints In Search And Rescue Operations" (2025). Masters Theses. 8229.
https://scholarsmine.mst.edu/masters_theses/8229
