MIT Libraries logoDSpace@MIT

MIT
View Item 
  • DSpace@MIT Home
  • MIT Libraries
  • MIT Theses
  • Graduate Theses
  • View Item
  • DSpace@MIT Home
  • MIT Libraries
  • MIT Theses
  • Graduate Theses
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.

SwarmSim : a framework for execution and visualization of drone swarm simulations

Author(s)
Lynch, Alexander J.,M. Eng.Massachusetts Institute of Technology.
Thumbnail
Download1192975056-MIT.pdf (489.2Kb)
Alternative title
Swarm Sim : a framework for execution and visualization of drone swarm simulations
Framework for execution and visualization of drone swarm simulations
Other Contributors
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science.
Advisor
Armando Solar-Lezama.
Terms of use
MIT theses may be protected by copyright. Please reuse MIT thesis content according to the MIT Libraries Permissions Policy, which is available through the URL provided. http://dspace.mit.edu/handle/1721.1/7582
Metadata
Show full item record
Abstract
In recent years there has been a dramatic increase in the use of personal drones in the general public, and with this increase in use has come an increase in research regarding the capabilities of these drones, particularly in the context of groups or "swarms" of drones attempting to collectively accomplish tasks. While exciting, this field requires either drones be operated and tested in the real world or through a simulation, and while the real world testing is often difficult to execute well, the alternative has been for each research group to develop their own simulation. This thesis proposes (1) a new framework meant to enable researchers to easily perform experiments in the context of drone swarms and (2) a novel problem that serves as an example of the type of problem the framework can assist in solving.
Description
Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, May, 2020
 
Cataloged from the official PDF of thesis.
 
Includes bibliographical references (pages 73-74).
 
Date issued
2020
URI
https://hdl.handle.net/1721.1/127471
Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Publisher
Massachusetts Institute of Technology
Keywords
Electrical Engineering and Computer Science.

Collections
  • Graduate Theses

Browse

All of DSpaceCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsThis CollectionBy Issue DateAuthorsTitlesSubjects

My Account

Login

Statistics

OA StatisticsStatistics by CountryStatistics by Department
MIT Libraries
PrivacyPermissionsAccessibilityContact us
MIT
Content created by the MIT Libraries, CC BY-NC unless otherwise noted. Notify us about copyright concerns.