Centralised Connectivity-Preserving Transformations for Programmable Matter: A Minimal Seed Approach

Matthew Connor, Othon Michail, Igor Potapov · arXiv · 2021

A minimal multi-node “seed” enables connectivity-preserving transformations between certain grid-based programmable matter shapes.

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Plain English summary

The work considers a programmable matter system where many devices sit on a 2D grid and can perform a basic mechanical move: rotating around each other. The goal is to change one overall shape into another while keeping the system globally connected at every step. The authors focus on a specific family of shapes (“nice shapes”) defined by a central line, where every node either lies on that line or connects to it through a perpendicular line of nodes. They prove that adding a minimal 3-node seed allows a line of n nodes to be transformed into a nice shape with n−1 nodes. They further show that a 4-node seed can transform nice shapes of size n into any other nice shape of the same size, with a stated time bound of O(n^2). They note that extending the method to a broader class of shapes remains open.

Why this matters

The abstract claims new constructive results showing that introducing minimal 3-node and 4-node seeds enables specific connectivity-preserving shape transformations within the class of nice shapes. The abstract presents theoretical results in a model; no implementation, prototype, or deployment evidence is provided.

Key findings

  • Connectivity must be preserved globally throughout the transformation.
  • With a minimal 3-node seed, a line of n nodes can be transformed into a nice shape of n−1 nodes.
  • With a 4-node seed, any nice shape of size n can be transformed into any other nice shape of size n in O(n^2) time.
  • The expansion of the constructible shape class beyond nice shapes is left as an open problem.

Limitations

Results are limited to the “nice shapes” class; extending to shapes outside that class is explicitly left open. The abstract does not address experimental validation, physical implementation details, or broader transformation classes.

Publication

Publisher
arXiv
Publication date
August 20, 2021
Research type
Preprint
arXiv
2108.09250
Access
open

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