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.

Physically accurate collisions in StarLogo Nova

Author(s)
Chao, Megan(Megan C.)
Thumbnail
Download1251779010-MIT.pdf (628.6Kb)
Other Contributors
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science.
Advisor
Eric Klopfer.
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
StarLogo Nova is a blocks-based programming language for students that helps teach programming by allowing users to model their own physical simulations and create games. In many simulations and games, it may be useful to have physically accurate elastic, inelastic, or partially inelastic collisions. However, StarLogo's current collision detection system relies on detecting overlapping objects after they have already collided, so it cannot simulate such collisions. We create a new continuous-time collision detection algorithm which computes the exact time two objects collide and processes collisions in time order. To verify it is possible to add physically accurate collisions to StarLogo using this algorithm, we test the continuous collision algorithm in the GlowScript, using elastic, inelastic, and partially elastic collision behavior. The new algorithm can be integrated into the execution model and new blocks can be added for different types of physically accurate collisions in order to bring accurate collisions to StarLogo.
Description
Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, February, 2021
 
Cataloged from the official PDF of thesis.
 
Includes bibliographical references (page 56).
 
Date issued
2021
URI
https://hdl.handle.net/1721.1/130683
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.