Dagstuhl Seminar 21091
Algorithmic Foundations of Programmable Matter Cancelled
( Feb 28 – Mar 05, 2021 )
Permalink
Please use the following short url to reference this page:
https://www.dagstuhl.de/21091
Replacement
Dagstuhl Seminar 23091:
Algorithmic Foundations of Programmable Matter
(2023-02-26 - 2023-03-03)
(Details)
Organizers
- Aaron Becker (University of Houston, US)
- Sándor Fekete (TU Braunschweig, DE)
- Irina Kostitsyna (TU Eindhoven, NL)
- Matthew J. Patitz (University of Arkansas - Fayetteville, US)
- Damien Woods (National University of Ireland - Maynooth, IE)
Contact
- Michael Gerke (for scientific matters)
- Jutka Gasiorowski (for administrative matters)
„Algorithmic Foundations of Programmable Matter” is an area that designs models and algorithms for materials that can change their physical properties in a programmable fashion or based on external stimuli. Many research areas have already been brought together, with connections to distributed computing, computational geometry, self-assembly, and swarm robotics, but the number of problems that have been identified so far is limited. In this Dagstuhl Seminar, we will significantly broaden the range of problems by seeking inspiration from researchers in areas where programmable matter promises to have a major impact in the future: engineering, physics and biological systems. Each of these areas also have their specific characteristics and challenges making them particularly interesting for this seminar: physics with its very small components, space technologies and engineering with their extremely large structures, and biology with its extremely complex structures. As a second objective, we will intensify interactions between participants towards concrete outcomes, which was successfully initiated during the previous Dagstuhl Seminar (18331, Algorithmic Foundations of Programmable Matter).
Creative Commons BY 3.0 DE
Aaron Becker, Sándor Fekete, Irina Kostitsyna, Matthew J. Patitz, Christian Scheideler, and Damien Woods
Classification
- artificial intelligence / robotics
- bioinformatics
- data structures / algorithms / complexity
Keywords
- Programmable matter
- distributed algorithms
- robotics
- self-assembly
- reconfiguration
