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Gathering

Robots must meet at a single point that is not fixed in advance, and stay there.

Problem statement and measuresexpand

\(n\) robots start at distinct points and must all reach the same point in finite time and remain there. For \(n = 2\) the problem is called rendezvous. Time is counted in rounds (FSYNC, SSYNC) or in epochs (ASYNC: intervals in which every robot completes at least one full Look–Compute–Move cycle); colours count light 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).

Homonymous robots, SSYNC

verified
Time: unknownColours: tight

Two distinct identifiers (two different algorithms) are necessary and sufficient for gathering in SSYNC.

Assumed (added on the last edge are outlined)

+Bodypoint robots+Visibilityunlimited+Opacitytransparent: every robot sees every robot within range+Faultsno faults+Schedulersemi-synchronous (SSYNC)+Identifiershomonymous: robots carry labels, but several may share a label

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 robotRandomnessdeterministicNumber of robotsany \(n\)
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: homonymous
Robots carry labels from a set of size \(\ell\), \(1\le\ell\le n\), which may repeat; equivalently, robots may run one of \(\ell\) algorithms. The minimum \(\ell\) that solves a problem is its minimum algorithm size Asahiro & Yamashita 2025.
Number of robots: any \(n\)
Any number \(n\ge 2\) of robots.

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
\(\text{impossible}\) Asahiro & Yamashita 2025
bottlenecksymmetry
holds when
  • with one identifier (anonymous robots)
  • with one crash fault, for any number of identifiers
introductory—
current best
\(\text{finite}\)
2 identifiers
Colours · colours of the light per robot (0 for oblivious robots)
tight
No colours.
lower boundnone known
introductory—
current best
\(0\)
2 identifiers

Results, in order of publication

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

The minimum algorithm size of gathering is 2; gathering the non-faulty robots under crashes needs 3.

Open questions

  1. What is the minimum number of identifiers for Byzantine-tolerant gathering? Asahiro & Yamashita 2025

Notes

Homonymous robots were first studied for pattern formation Bouzid & Lamani 2011; the term comes from Byzantine agreement with homonyms Delporte-Gallet et al. 2013.

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