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Exploration by luminous robots

Myopic Look–Compute–Move robots with a light of a few colours must visit every node of a ring, grid or torus, and stop or keep visiting; how many robots and colours are needed?

Problem statement and measuresexpand

\(k\) anonymous robots, each with a light that shows one of \(c\) colours, are placed on an anonymous graph \(G=(V,E)\) (a ring, a finite grid or a torus) in an initial configuration designated by the algorithm (positions and colours). Each robot repeats Look–Compute–Move cycles. Look: it sees every node within distance \(\varphi\), with the multiset of colours of the robots on each (so it sees towers, nodes with several robots), and its own colour. Compute: a deterministic function of this snapshot, the same for all robots, gives a new colour and a destination, its own node or a neighbour; the robot sees no identifiers, no ports, and (without chirality) no orientation. Move: it moves there. A fair adversarial scheduler (FSYNC, SSYNC or ASYNC) activates the robots. Terminating exploration: every node is visited by some robot and eventually no robot is enabled. Perpetual exploration: every node is visited infinitely often. With finite \(\varphi\) no algorithm works from every initial configuration, so each result names its initial configurations; some papers also require exclusive executions (no two robots on one node or one edge) or opaque robots, recorded under each result. Measures: the number of robots \(k\) and the number of colours \(c\).

Measures: Robots, number of robots \(k\) needed; Colours, number of colours \(c\) of each light; \(c = 1\) means no usable light (oblivious robots).

Grids, ASYNC, perpetual, chirality, \(\varphi = 2\)

verified
Robots: tightColours: tight

Three robots with two colours, or four oblivious robots, explore a grid perpetually under ASYNC with chirality and \(\varphi = 2\).

Assumed (added on the last edge are outlined)

+Graph dynamicsstatic graph+Edge directionundirected+Networkfinite grid+Exploration goalperpetual exploration (visit every node infinitely often)+Lights (memory and messages)full light (LUMI): visible to the robot and to the others+Visibility range\(\varphi = 2\) (results hold for every \(\varphi \ge 2\))+Chiralitycommon chirality (same clockwise direction)+Faultsno faults

Not assumed

Schedulerasynchronous (ASYNC)Identifiersanonymous: all agents are identical
Formal definitions of this setting
Graph dynamics: static graph
\(G_t=G\) for all \(t\): the edge set never changes.
Edge direction: undirected
\(G=(V,E)\) with \(E\subseteq\binom V2\); every edge can be traversed in both directions.
Network: grid
An \(a \times b\) grid (\(n = ab\) nodes; nodes \((i,j)\), edges between nodes at Manhattan distance one); anonymous, with \(a\) and \(b\) unknown. A robot sees the border of the grid when it is within range, since nodes beyond the border are missing from its snapshot.
Exploration goal: perpetual
Every node is visited by at least one robot infinitely often; robots never stop.
Lights (memory and messages): luminous
LUMI (luminous robots): each robot has a light with \(c\) colours, set at the end of Compute, persistent across cycles, and visible to the robot itself and to every robot within distance \(\varphi\) Das et al. 2016. It is both memory and message. A Look returns, for every node within distance \(\varphi\), the multiset of colours of the robots on it.
Scheduler: ASYNC
ASYNC: each robot's Look, Compute and Move phases take finite but unbounded, adversarially chosen time; a robot may Look while others are between phases, so it may move on an outdated snapshot. A robot is always seen on a node (an edge traversal is instantaneous), and its new colour is visible from the end of its Compute phase. The scheduler is fair: every robot is activated infinitely often. Called CORDA in Datta et al. 2013.
Visibility range: \(\varphi=2\)
As for \(\varphi = 1\), but the robot sees every node at distance at most \(\varphi = 2\). An algorithm for \(\varphi = 2\) works for every larger \(\varphi\), since a robot can ignore what lies further away.
Chirality: chirality
All robots agree on the clockwise direction: a snapshot is known up to rotation only (no reflection), so a robot on an axis of symmetry of its view can still tell its two sides apart. Robots still share no North.
Faults: no faults
All agents follow the algorithm forever.
Identifiers: anonymous
All agents run the same deterministic algorithm on the same input; no agent has a label. Formally the label function is constant: \(\mathrm{id}(a)=\mathrm{id}(b)\) for all agents \(a,b\).

What is known

Robots · number of robots \(k\) needed
tight
Constant on both sides, so tight up to a constant: two against three: no impossibility for two luminous robots under ASYNC with chirality and \(\varphi = 2\) was found (two robots with two colours work under FSYNC Bramas et al. 2023). The exact number is open.
lower bound
bottlenecksymmetry breaking
holds when
  • one robot, any finite \(\varphi\) (Theorem 1); FSYNC bound
introductory—
current best
\(3\)
exclusive: no two robots ever share a node or traverse an edge together
Colours · number of colours \(c\) of each light; \(c = 1\) means no usable light (oblivious robots)
tight
Two for three robots; one for four.
lower bound
bottlenecksymmetry breaking
holds when
  • three oblivious robots, \(\varphi = 2\), even with chirality (Theorem 3)
introductory—
current best
\(2\)
exclusive: no two robots ever share a node or traverse an edge together

Results, in order of publication

Bramas et al. 2023 current best
Robots \(3\)Colours \(2\)
exclusive: no two robots ever share a node or traverse an edge together

Transformation of \(V^{one}_{32}\) to ASYNC under \(\varphi = 2\), as reported in Table 1 of Bramas et al. 2026.

Robots \(4\)Colours \(1\)
exclusive: no two robots ever share a node or traverse an edge togethergrids with at least five rows and columns (smaller cases by special rules)initial configuration not locally defined

Algorithm \(A_1\): oblivious robots, optimal for \(c = 1\).

Open questions

  1. Can two luminous robots with common chirality and \(\varphi = 2\) explore a finite grid perpetually under ASYNC (or SSYNC)?

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.

Lower bounds from stronger settings hold here

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