@article{546ad5f5f94745b8bd15b04d097c9e53,
title = "Phototactic supersmarticles",
abstract = "Smarticles or smart active particles are small robots equipped with only basic movement and sensing abilities that are incapable of rotating or displacing individually. We study the ensemble behavior of smarticles, i.e., the behavior a collective of these very simple computational elements can achieve, and how such behavior can be implemented using minimal programming. We show that an ensemble of smarticles constrained to remain close to one another (which we call a supersmarticle), achieves directed locomotion toward or away from a light source, a phenomenon known as phototaxing. We present experimental and theoretical models of phototactic supersmarticles that collectively move with a directed displacement in response to light. The motion of the supersmarticle is stochastic, performing approximate free diffusion, and is a result of chaotic interactions among smarticles. The system can be directed by introducing asymmetries among the individual smarticle{\textquoteright}s behavior, in our case, by varying activity levels in response to light, resulting in supersmarticle-biased motion.",
keywords = "Active matter, Locomotion, Phototaxing, Programmable matter, Swarm robotics",
author = "William Savoie and Sarah Cannon and Daymude, {Joshua J.} and Ross Warkentin and Shengkai Li and Andrea Richa and Dana Randall and Goldman, {Daniel I.}",
note = "Funding Information: S. Cannon: This material is based upon work supported by the National Science Foundation Graduate Research Fellowship Program under Grant No. NSF DGE-1650044. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation. J. J. Daymude and A. W. Richa: Supported in part by NSF CCF-1422603, CCF-1637393, and CCF-1733680. D. I. Goldman: Funding provided by NSF PoLS #0957659 and #PHY-1205878, and ARO #W911NF-13-1-0347. D. Randall: Supported in part by NSF CCF-1526900, CCF-1637031, and CCF-1733812. This work was presented in part at the 2nd International Symposium on Swarm Behavior and Bio-Inspired Robotics, Kyoto, October 29–November 1, 2017. Funding Information: supported by the National Science Foundation Graduate Research Fellowship Program under Grant No. NSF DGE-1650044. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation. J. J. Daymude and A. W. Richa: Supported in part by NSF CCF-1422603, CCF-1637393, and CCF-1733680. D. I. Goldman: Funding provided by NSF PoLS #0957659 and #PHY-1205878, and ARO #W911NF-13-1-0347. D. Randall: Supported in part by NSF CCF-1526900, CCF-1637031, and CCF-1733812. Publisher Copyright: {\textcopyright} 2018, ISAROB.",
year = "2018",
month = dec,
day = "1",
doi = "10.1007/s10015-018-0473-7",
language = "English (US)",
volume = "23",
pages = "459--468",
journal = "Artificial Life and Robotics",
issn = "1433-5298",
publisher = "Springer Japan",
number = "4",
}