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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).

Randomized, ASYNC, chirality

verified
Time: unknownColours: tight

With random bits and common handedness, \(n \ge 5\) robots form any pattern without multiplicities from any initial configuration, with probability 1.

Assumed (added on the last edge are outlined)

+Bodypoint robots+Visibilityunlimited+Opacitytransparent: every robot sees every robot within range+Faultsno faults+Agreement on coordinatescommon chirality (same clockwise orientation)+Randomnessrandomized

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 robotIdentifiersanonymous: 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Move phases take finite but unbounded, adversarially chosen time; a robot may look while others move, and compute on an outdated snapshot.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: chirality
All local coordinate systems have the same handedness (clockwise orientation): no reflection. Also called handedness. Prencipe uses chirality for agreement on North and East, i.e. a compass Prencipe 2007.
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: randomized
Robots may use random bits in Compute; guarantees hold with probability 1 or in expectation, as stated per result.
Identifiers: anonymous
Robots are indistinguishable and run the same algorithm.

Statement for this variant

Robots may draw random bits in Compute. From any initial configuration of distinct points, the robots must form the given pattern with probability 1 and then stop moving.

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 boundnone known
introductory
\(\text{finite}\)
\(n \ge 5\)neither the initial configuration nor the pattern has multiplicitiesnon-rigid moves
current best
\(\text{finite}\)
\(n \ge 5\)neither the initial configuration nor the pattern has multiplicitiesnon-rigid moves
Colours · colours of the light per robot (0 for oblivious robots)
tight
No colours.
lower boundnone known
introductory
\(0\)
\(n \ge 5\)neither the initial configuration nor the pattern has multiplicitiesnon-rigid moves
current best
\(0\)
\(n \ge 5\)neither the initial configuration nor the pattern has multiplicitiesnon-rigid moves

Results, in order of publication

Time \(\text{finite}\)Colours \(0\)
\(n \ge 5\)neither the initial configuration nor the pattern has multiplicitiesnon-rigid moves

Theorem 5: forms any pattern from any initial configuration with probability 1. A randomized phase reaches a configuration with symmetricity 1 (Theorem 4); the robots then run the deterministic algorithm of Fujinaga et al. 2015, whose proof Cicerone et al. 2019 report as not correct, so this result depends on a disputed proof.

Open questions

  1. A proof that does not rely on the disputed algorithm of Fujinaga et al. 2015, for example by combining the symmetry-breaking phase of Yamauchi & Yamashita 2014 with the algorithm of Cicerone et al. 2019.

Notes

Yamauchi and Yamashita's local coordinate systems are all right-handed (chirality). Checked against the full text of Yamauchi & Yamashita 2014 (DISC 2014): the statements of Theorems 4 and 5 and the model; the combination with \(\psi_{CWM}\) rests on Fujinaga et al. 2015.

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 with common chirality
Time \(\text{finite}\)Colours \(0\)

Lower bounds from stronger settings hold here

No catalogued stronger setting.

Know a better result for this setting, or found a mistake? Suggest a result · Report an error. Accepted contributions are acknowledged.