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Shape formation in programmable matter

Particles must rearrange into a target shape (a line, a triangle, any shape built from triangles).

Problem statement and measuresexpand

From a connected initial configuration (the set of nodes occupied by particles) of \(n\) particles, the particles must reach a configuration forming a given target shape (at a scale depending on \(n\)). Time is in rounds; moves counts expansions and contractions.

Measures: Time, asynchronous rounds; Moves, total expansions and contractions (work).

tight near-optimal polynomial gap unknown impossible· rows follow the assumption tree; each cell: best upper bound vs lower bound, and what forces the lower bound
Setting
Time
Moves
Scheduler + constant memory
—
—
Deterministic, simply connected start, no chirality + strong scheduler, + no holes
0 open · 1 results
unknown \(O(n^2)\) vs —
tight \(O(n^2)\) vs \(\Omega(n^2)\) distance
Universal shapes, sequential, randomized + sequential, + chirality, + randomized, + no holes
0 open · 1 results
tight \(O(\sqrt n)\) vs \(\Omega(\sqrt n)\) distance
unknown — vs —
SILBOT, chirality oblivious, + chirality
1 open · 0 results
impossible — vs \(\text{impossible}\) symmetry breaking
impossible — vs —
SILBOT, full orientation oblivious, + common compass, + may disconnect
2 open · 2 results
unknown — vs —
tight \(O(n^2)\) vs \(\Omega(n^2)\) distance

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