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Pattern formation

Robots start at distinct points and must form a given geometric pattern, up to similarity; which patterns are formable, and from which initial configurations?

Problem statement and measuresexpand

\(n\) robots start at distinct points of the plane. Each is given the same pattern \(P\), a set (or multiset) of \(n\) points in its own local coordinate system. The robots must reach a configuration similar to \(P\) (equal up to translation, rotation, uniform scaling and, without chirality (a common clockwise direction), reflection) and stay there. The question is for which pairs (initial configuration, pattern) this is possible under the given assumptions, and at what cost in time and colours.

Measures: Time, rounds (FSYNC, SSYNC) or epochs (ASYNC) until the task is done; "finite" when only solvability is known; Colours, colours of the light per robot (0 for oblivious robots).

ASYNC with one common axis

verified
Time: unknownColours: tight

With a common North and chirality, any odd number of robots forms any pattern; an even number cannot, in the worst case.

Assumed (added on the last edge are outlined)

+Bodypoint robots+Visibilityunlimited+Opacitytransparent: every robot sees every robot within range+Faultsno faults+Agreement on coordinatesagreement on one axis (no common chirality)

Not assumed

Schedulerasynchronous (ASYNC)Lights (persistent memory)oblivious, no light (OBLOT)Movementnon-rigid: the adversary may stop a move after some minimum distance \(\delta\)Multiplicity detectionnone: a point with several robots looks like one robotRandomnessdeterministicIdentifiersanonymous: all robots are identical
Formal definitions of this setting
Body: point
Each robot is a point of the plane: several robots may share a point (multiplicity), and a robot hides only what lies exactly behind it on a line of sight.
Visibility: unlimited visibility
A robot sees all robots (subject to opacity).
Opacity: transparent
Robots do not obstruct each other's view.
Faults: no faults
All robots follow the algorithm forever.
Scheduler: ASYNC
ASYNC: each robot's Look, Compute and Move phases take finite but unbounded, adversarially chosen time; a robot may look while others move, and compute on an outdated snapshot. Time is counted in epochs: an epoch is an interval of time in which every robot completes at least one full Look–Compute–Move cycle; it need not be the shortest such interval. The execution is divided into consecutive epochs, and a bound of \(X\) epochs holds for every such division. In FSYNC and SSYNC time is counted in rounds. Called Corda by Prencipe Prencipe 2007. Intermediate variants restrict interleavings: LC-atomic (no Look by another robot between a robot's Look and its Compute), Move-atomic (no Look during another robot's Move) and CM-atomic Flocchini et al. 2023.
Lights (persistent memory): oblivious
OBLOT: a robot's computation depends only on the current snapshot; nothing persists across cycles.
Agreement on coordinates: one axis
All robots agree on the direction and orientation of one axis (e.g. North), but not necessarily on handedness: two robots may disagree on which side is East. This is how the papers use one axis agreement (e.g. robots "agree on only 'left' and 'right'" Bose et al. 2021; robots "do not necessarily have the same handedness" Pagli et al. 2015). One axis and chirality are alternatives on this axis; together they amount to a common compass.
Movement: non-rigid
In a Move phase the adversary may stop a robot before its destination, but only after it has travelled at least \(\delta>0\) (a constant unknown to the robots) or reached the destination.
Multiplicity detection: no multiplicity detection
A snapshot is a set of points: a point occupied by several robots looks like a single robot.
Randomness: deterministic
The destination computed in a cycle is a function of the snapshot (and the light, if any).
Identifiers: anonymous
Robots are indistinguishable and run the same algorithm.

What is known

Time · rounds (FSYNC, SSYNC) or epochs (ASYNC) until the task is done; "finite" when only solvability is known
unknown
Time not analysed.
lower bound
\(\text{impossible}\) Flocchini et al. 2008
bottlenecksymmetry
holds when
  • even \(n\), for some initial configurations
introductory—
current best
\(\text{finite}\)
odd \(n\)
Colours · colours of the light per robot (0 for oblivious robots)
tight
No colours.
lower boundnone known
introductory—
current best
\(0\)
odd \(n\)

Results, in order of publication

Time \(\text{finite}\)Colours \(0\)
odd \(n\)

Introductory and current best.

Open questions

None recorded for this variant.

What carries over from neighbouring settings

Read off the order of assumptions, not checked case by case: results may carry extra assumptions (shown on their pages), and asynchronous time is measured in epochs.

Algorithms from weaker settings work here

ASYNC, no agreement on coordinates
Time \(\text{finite}\)Colours \(0\)

Lower bounds from stronger settings hold here

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