An Interactive Framework for Reconfiguration in the Sliding Square Model (Media Exposition)

Sonke, Willem; Wulms, Jules

doi:10.4230/LIPIcs.SoCG.2022.70

Record link:

http://hdl.handle.net/20.500.12708/150223

Title:

An Interactive Framework for Reconfiguration in the Sliding Square Model (Media Exposition)

Citation:

Sonke, W., & Wulms, J. (2022). An Interactive Framework for Reconfiguration in the Sliding Square Model (Media Exposition). In X. Goaoc & M. Kerber (Eds.), 38th International Symposium on Computational Geometry (SoCG 2022) (pp. 1–4). Schloss Dagstuhl - Leibniz-Zentrum für Informatik. https://doi.org/10.4230/LIPIcs.SoCG.2022.70

CatalogPlus:

AC17203455

Publisher DOI:

10.4230/LIPIcs.SoCG.2022.70

Publication Type:

Inproceedings - Full-Paper Contribution

Language:

English

Authors:

Sonke, Willem
Wulms, Jules

Organisational Unit:

E192-02 - Forschungsbereich Databases and Artificial Intelligence

Published in:

38th International Symposium on Computational Geometry (SoCG 2022)

ISBN:

978-3-95977-227-3

Volume:

224

DOI of the book:

10.4230/LIPIcs.SoCG.2022

Date (published):

1-Jun-2022

Event name:

38th International Symposium on Computational Geometry (SoCG 2022)

Event date:

7-Jun-2022 - 10-Jun-2022

Event place:

Berlin, Germany

Number of Pages:

Publisher:

Schloss Dagstuhl - Leibniz-Zentrum für Informatik, Dagstuhl

Keywords:

Implementation; Modular robots; Visualization

Abstract:

We describe SquareSlider, a software framework for visualizing reconfiguration algorithms of modular robots in the sliding square model. In this model, a robot consists of a configuration of squares in a rectangular grid, which can reconfigure through a fixed set of possible moves. SquareSlider is a web-based tool that implements an easy-to-use interface allowing the user to build a configuration, run a reconfiguration algorithm on it, and examine the results.

Link (external):

https://archive.softwareheritage.org/swh:1:dir:4970151973ae26eeaac474506f7e0fa400e414db;origin=https://github.com/tue-alga/squareslider;visit=swh:1:snp:84bfc85faaa8065ba97e0ad43a9ad8886e072b2e;anchor=swh:1:rev:d89b294d762798e19720addaf105bd6633d13ca8
https://alga.win.tue.nl/software/squareslider/

Research Areas:

Logic and Computation: 100%

Science Branch:

1020 - Informatik: 80%
1010 - Mathematik: 20%

License:

CC BY 4.0