Mobility Matters
Home›Mobile robots in the plane›Formation problems›Pattern formation›k-grouping›Gathering

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).

Limited visibility, FSYNC, disoriented

verified
Time: tightColours: tight

Disoriented robots with limited visibility gather in \(O(\Delta_0^2)\) synchronous rounds, \(\Delta_0\) the initial diameter.

Assumed (added on the last edge are outlined)

+Bodypoint robots+Opacitytransparent: every robot sees every robot within range+Faultsno faults+Schedulerfully synchronous (FSYNC)

Not assumed

Visibilitylimited: robots see only within a fixed radiusLights (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 identicalNumber 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: limited visibility
A robot sees exactly the robots within Euclidean distance \(V\) of its position, for a fixed radius \(V>0\).
Opacity: transparent
Robots do not obstruct each other's view.
Faults: no faults
All robots follow the algorithm forever.
Scheduler: FSYNC
FSYNC: every robot executes one atomic cycle in every round.
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.
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
tight
Tight within the class of local convex-hull protocols; for arbitrary protocols only the trivial bound is known.
lower bound
\(\Omega(\Delta_0^2)\) Castenow et al. 2022
bottlenecklocality
holds when
  • only for protocols that move inside the local convex hull of the neighbourhood
  • \(\Delta_0\) = largest initial distance between two robots
introductory
\(O(n^2)\)
current best
\(O(\Delta_0^2)\)
Colours · colours of the light per robot (0 for oblivious robots)
tight
No colours.
lower boundnone known
introductory
\(0\)
current best
\(0\)

Results, in order of publication

Degener et al. 2011 introductory
Time \(O(n^2)\)Colours \(0\)

Go-To-The-Center; \(\Theta(n^2)\) for that algorithm (as restated by Castenow et al. 2022).

Time \(O(\Delta_0^2)\)Colours \(0\)

Every \(\lambda\)-contracting protocol, including Go-To-The-Center; works in two and three dimensions.

Open questions

  1. Is \(\Omega(\Delta_0^2)\) necessary for every protocol, not only local convex-hull ones?

Notes

\(\Delta_0\) here is a distance, not the maximum degree.

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