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Circle formation

Robots must reach positions on a common circle.

Problem statement and measuresexpand

\(n\) robots start at distinct points and must reach a configuration in which all of them lie on one circle, at distinct points, and stay there. Uniform circle formation additionally asks for a regular \(n\)-gon.

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).

Circle formation, SSYNC

verified
Time: unknownColours: tight

In SSYNC the first algorithms formed a circle and then converged towards a uniform one.

Assumed (added on the last edge are outlined)

+Bodypoint robots+Visibilityunlimited+Opacitytransparent: every robot sees every robot within range+Faultsno faults+Schedulersemi-synchronous (SSYNC)

Not assumed

Lights (persistent memory)oblivious, no light (OBLOT)Agreement on coordinatesno agreement on local coordinate systemsMovementnon-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: SSYNC
SSYNC: time is divided into rounds; in each round a non-empty subset of robots, chosen by a fair adversary, executes one atomic Look–Compute–Move cycle. Called Atom by Prencipe Prencipe 2007.
Lights (persistent memory): oblivious
OBLOT: a robot's computation depends only on the current snapshot; nothing persists across cycles.
Agreement on coordinates: disoriented
Each robot \(r\) observes in its own coordinate system, obtained from the global one by an unknown similarity (translation, rotation, uniform scaling, and possibly reflection); systems may differ between robots and, in some models, between cycles. Papers that call robots disoriented do not always mean this: Défago and Souissi use the word while assuming chirality Défago & Souissi 2008. Some papers also let the adversary change a robot's rotation, reflection and unit at every Look (variable disorientation) Flocchini et al. 2023 Masuzawa et al. 2026.
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 boundnone known
introductory
\(\text{finite}\)
current best
\(\text{finite}\)
chiralitya maximum step length per robot instead of adversarial non-rigid moves
Colours · colours of the light per robot (0 for oblivious robots)
tight
No colours.
lower boundnone known
introductory
\(0\)
current best
\(0\)
chiralitya maximum step length per robot instead of adversarial non-rigid moves

Results, in order of publication

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

No chirality needed; proofs only sketched (as stated by Défago & Souissi 2008).

Time \(\text{finite}\)Colours \(0\)
chiralitya maximum step length per robot instead of adversarial non-rigid moves

Forms a circle and converges towards a uniform one without reaching it.

Open questions

None recorded for this variant.

Notes

Défago and Souissi call their robots disoriented although they assume chirality; Flocchini et al. use disoriented to exclude chirality. Checked against the full text of Défago & Souissi 2008; Défago & Konagaya 2002 was not reachable.

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

Circle formation
Time \(\text{finite}\)Colours \(0\)

Lower bounds from stronger settings hold here

No catalogued stronger setting.

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