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k-grouping

Robots must form \(k\) distinct groups, each group at its own point.

Problem statement and measuresexpand

\(n\) robots must form exactly \(k\) distinct groups, each group gathered at its own point or converging towards one, and stay apart. The number of groups \(k\) is given; the group sizes are free unless the variant fixes them. With \(k = 1\) this is gathering (or convergence).

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).

\(k\) equal groups, randomized, SSYNC

verified
Time: unknownColours: tight

With randomness, robots without any common orientation partition in SSYNC, tolerating crashes.

Assumed (added on the last edge are outlined)

+Bodypoint robots+Visibilityunlimited+Opacitytransparent: every robot sees every robot within range+Faultsup to \(f\) robots may crash+Schedulersemi-synchronous (SSYNC)+Randomnessrandomized

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 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: crash faults
Up to \(f\) robots stop forever at adversarial times and remain visible at their last position.
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: 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

Partition\((n,k)\) of Efrima and Peleg: \(k\) is given to the robots, every group has exactly \(n/k\) robots (\(\lfloor n/k\rfloor\) or \(\lfloor n/k\rfloor + 1\) when \(k\) does not divide \(n\)), robots in one group converge (for every \(\varepsilon\) they are eventually within \(\varepsilon\) of each other) and groups stay more than \(2\eta\) apart, for some fixed \(\eta > 0\). Robots start at distinct points and can count the robots at a point.

What is known

Time · rounds (FSYNC, SSYNC) or epochs (ASYNC) until the task is done; "finite" when only solvability is known
unknown
Only solvability.
lower boundnone known
introductory—
current best
\(\text{finite}\)
strong multiplicity detectionadaptive adversary
Colours · colours of the light per robot (0 for oblivious robots)
tight
No colours.
lower boundnone known
introductory—
current best
\(0\)
strong multiplicity detectionadaptive adversary

Results, in order of publication

Efrima & Peleg 2009 current best
Time \(\text{finite}\)Colours \(0\)
strong multiplicity detectionadaptive adversary

Introductory and current best: randomized, crash-fault tolerant, FSYNC and SSYNC.

Open questions

  1. Partitioning in ASYNC without a common orientation, by a randomized algorithm with no extra memory.

Notes

Checked against the full text.

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