dc.contributor.author | Becker, Aaron T. | |
dc.contributor.author | Demaine, Erik D | |
dc.contributor.author | Fekete, Sandor P. | |
dc.contributor.author | Shad, Hamed Mohtasham | |
dc.contributor.author | Morris-Wright, Rose | |
dc.date.accessioned | 2021-11-08T13:46:36Z | |
dc.date.available | 2021-11-08T13:15:08Z | |
dc.date.available | 2021-11-08T13:46:36Z | |
dc.date.issued | 2015 | |
dc.identifier.uri | https://hdl.handle.net/1721.1/137645.2 | |
dc.description.abstract | We present fundamental progress on the computational universality of swarms of micro- or nanoscale robots in complex environments, controlled not by individual navigation, but by a uniform global, external force. More specifically, we consider a 2D grid world, in which all obstacles and robots are unit squares, and for each actuation, robots move maximally until they collide with an obstacle or another robot. The objective is to control robot motion within obstacles, design obstacles in order to achieve desired permutation of robots, and establish controlled interaction that is complex enough to allow arbitrary computations. In this video, we illustrate progress on all these challenges: we demonstrate NP-hardness of parallel navigation, we describe how to construct obstacles that allow arbitrary permutations, and we establish the necessary logic gates for performing arbitrary in-system computations. | en_US |
dc.language.iso | en | |
dc.relation.isversionof | 10.4230/LIPIcs.SOCG.2015.16 | en_US |
dc.rights | Creative Commons Attribution 4.0 International license | en_US |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | en_US |
dc.source | DROPS | en_US |
dc.title | Tilt: The Video Designing Worlds to Control Robot Swarms with only Global Signals | en_US |
dc.type | Article | en_US |
dc.identifier.citation | Becker, Aaron T. et al. 2015. "Tilt: The Video Designing Worlds to Control Robot Swarms with only Global Signals." | en_US |
dc.contributor.department | Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory | en_US |
dc.contributor.department | Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science | en_US |
dc.eprint.version | Final published version | en_US |
dc.type.uri | http://purl.org/eprint/type/ConferencePaper | en_US |
eprint.status | http://purl.org/eprint/status/NonPeerReviewed | en_US |
dc.date.updated | 2019-06-03T20:09:23Z | |
dspace.date.submission | 2019-06-03T20:09:24Z | |
mit.license | PUBLISHER_CC | |
mit.metadata.status | Publication Information Needed | en_US |