Line formation and scattering in silent programmable matter

Programmable Matter (PM) has been widely investigated in recent years. It refers to some kind of substance with the ability to change its physical properties (e.g., shape or color) in a programmable way. In this paper, we refer to the SILBOT model, where the particles live and move on a triangular grid, are asynchronous in their computations and movements, and do not possess any direct means of communication (silent) or memory of past events (oblivious). Within SILBOT , we aim at studying Spanning problems, i.e., problems where the particles are required to suitably span all over the grid. We first address the Line Formation problem where the particles are required to end up in a configuration where they all lie on a line, i.e., they are aligned and connected. Secondly, we deal with the more general Scattering problem: starting from any initial configuration, we aim at reaching a final one where no particles occupy neighboring nodes. Furthermore, we investigate configurations where some nodes of the grid can be occupied by unmovable elements (i.e., obstacles) from both theoretical and experimental view points. • In this paper we investigate on Spanning Problems within Programmable Matter. • We focused on the Line Formation and the Scattering problem within the SILBOT model. • We prove the Line Formation problem to be unsolvable when particles share chirality. • We prove the Scattering problem to be unsolvable in the asynchronous setting. • We propose distributed algorithms to solve the two problems.

Authors

Institutions

Publication Details

Journal
Journal of Parallel and Distributed Computing
Published
2025-06-11
DOI
https://doi.org/10.1016/j.jpdc.2025.105129
Citations
1
Primary Topic
Modular Robots and Swarm Intelligence
Type
article
Field-Weighted Citation Impact
0.71

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Line formation and scattering in silent programmable matter

Alfredo Navarra, Giuseppe Prencipe, Francesco Piselli
1 citations
Journal of Parallel and Distributed Computing
Modular Robots and Swarm Intelligence
0.71
article

Line formation and scattering in silent programmable matter

Alfredo Navarra, Giuseppe Prencipe, Francesco Piselli
article en
1 citations

Abstract

Programmable Matter (PM) has been widely investigated in recent years. It refers to some kind of substance with the ability to change its physical properties (e.g., shape or color) in a programmable way. In this paper, we refer to the SILBOT model, where the particles live and move on a triangular grid, are asynchronous in their computations and movements, and do not possess any direct means of communication (silent) or memory of past events (oblivious). Within SILBOT , we aim at studying Spanning problems, i.e., problems where the particles are required to suitably span all over the grid. We first address the Line Formation problem where the particles are required to end up in a configuration where they all lie on a line, i.e., they are aligned and connected. Secondly, we deal with the more general Scattering problem: starting from any initial configuration, we aim at reaching a final one where no particles occupy neighboring nodes. Furthermore, we investigate configurations where some nodes of the grid can be occupied by unmovable elements (i.e., obstacles) from both theoretical and experimental view points. • In this paper we investigate on Spanning Problems within Programmable Matter. • We focused on the Line Formation and the Scattering problem within the SILBOT model. • We prove the Line Formation problem to be unsolvable when particles share chirality. • We prove the Scattering problem to be unsolvable in the asynchronous setting. • We propose distributed algorithms to solve the two problems.

Journal of Parallel and Distributed ComputingVol. 204
University of Pisa (IT), University of Perugia (IT)
Gruppo Nazionale per il Calcolo Scientifico
Openalex Percentile: Top 31%
Modular Robots and Swarm Intelligence
0.71
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Line formation and scattering in silent programmable matter — Alfredo Navarra, Giuseppe Prencipe, et al. · Journal of Parallel and Distributed Computing (2025) | TGRS Research Map | TGRS