Modeling, simulation, and trade‐off analysis for multirobot, multioperator surveillance.

Saved in:
Bibliographic Details
Title: Modeling, simulation, and trade‐off analysis for multirobot, multioperator surveillance.
Authors: Humann, James, Fletcher, TaLena, Gerdes, John
Source: Systems Engineering; Sep2023, Vol. 26 Issue 5, p627-640, 14p
Subject Terms: ORNITHOPTERS, GRAPHICAL user interfaces, DRONE aircraft, HUMAN behavior, AUTONOMOUS vehicles, AIRPLANE wings
Abstract: As unmanned vehicles become smaller and more autonomous, it is becoming feasible to use them in large groups with comparatively few human operators. Design and analysis of such distributed systems are complicated by the many interactions among agents and phenomena of human behavior. In particular, human susceptibility to fatigue and cognitive overload can introduce errors and uncertainty into the system. In this paper, we demonstrate how advanced computational tools can help to overcome these engineering difficulties by optimizing multirobot, multioperator surveillance systems for cost, speed, accuracy, and stealth according to diverse user preferences in multiple case studies. The tool developed is a graphical user interface that returns the optimal number and mix of diverse agent types as a function of the user's trade‐off preferences. System performance prediction relies on a multiagent simulation with submodels for human operators, fixed‐wing unmanned aerial vehicles (UAVs), quadrotor UAVs, and flapping wing UAVs combined in different numbers. [ABSTRACT FROM AUTHOR]
Copyright of Systems Engineering is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Complementary Index
Be the first to leave a comment!
You must be logged in first