https://www.dagstuhl.de/23091
February 26 – March 3 , 2023, Dagstuhl Seminar 23091
Algorithmic Foundations of Programmable Matter
Organizers
Aaron Becker (TU Braunschweig, DE)
Sándor Fekete (TU Braunschweig, DE)
Irina Kostitsyna (TU Eindhoven, NL)
Matthew J. Patitz (University of Arkansas – Fayetteville, US)
Damien Woods (Maynooth University, IE)
For support, please contact
Simone Schilke for administrative matters
Michael Gerke for scientific matters
Motivation
“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 has its 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 communities towards concrete outcomes, which was successfully initiated during the previous Dagstuhl Seminar "Algorithmic Foundations of Programmable Matter" (18331).
Motivation text license Creative Commons BY 4.0
Aaron Becker, Sándor Fekete, Irina Kostitsyna, Matthew J. Patitz, and Damien Woods
Dagstuhl Seminar Series
- 18331: "Algorithmic Foundations of Programmable Matter" (2018)
- 16271: "Algorithmic Foundations of Programmable Matter" (2016)
Classification
- Computational Geometry
- Data Structures And Algorithms
- Robotics
Keywords
- Distributed algorithms
- Computational geometry
- Robotics
- DNA computing
- Programmable matter