@inproceedings{420d9a8a161e498eaeb1159511ca5a4b,
title = "Turning machines",
abstract = "Molecular robotics is challenging, so it seems best to keep it simple. We consider an abstract molecular robotics model based on simple folding instructions that execute asynchronously. Turning Machines are a simple 1D to 2D folding model, also easily generalisable to 2D to 3D folding. A Turning Machine starts out as a line of connected monomers in the discrete plane, each with an associated turning number. A monomer turns relative to its neighbours, executing a unit-distance translation that drags other monomers along with it, and through collective motion the initial set of monomers eventually folds into a programmed shape. We fully characterise the ability of Turning Machines to execute line rotations, and to do so efficiently: computing an almost-full line rotation of 5π/3 radians is possible, yet a full 2π rotation is impossible. We show that such line-rotations represent a fundamental primitive in the model, by using them to efficiently and asynchronously fold arbitrarily large zig-zag-rastered squares and y-monotone shapes.",
keywords = "Model of computation, Molecular robotics, Nubot, Reconfiguration, Self-assembly",
author = "Irina Kostitsyna and Cai Wood and Damien Woods",
year = "2020",
month = sep,
day = "1",
doi = "10.4230/LIPIcs.DNA.2020.11",
language = "English",
series = "Leibniz International Proceedings in Informatics, LIPIcs",
publisher = "Schloss Dagstuhl - Leibniz-Zentrum f{\"u}r Informatik",
editor = "Cody Gear and Patitz, \{Matthew J.\}",
booktitle = "26th International Conference on DNA Computing and Molecular Programming, DNA 2020",
note = "26th International Conference on DNA Computing and Molecular Programming, DNA 2020 ; Conference date: 14-09-2020 Through 17-09-2020",
}