2026-07-20T11:27:55Z https://drops.dagstuhl.de/oai

oai:drops-oai.dagstuhl.de:24872 2026-02-09T07:42:14Z ddc:004 open_access

Brief Announcement: Universal Dancing by Luminous Robots Under Sequential Schedulers Feletti, Caterina Flocchini, Paola Pattanayak, Debasish Prencipe, Giuseppe Santoro, Nicola Luminous Robots Sequence of Patterns Pattern Formation Sequential Scheduler The Dancing problem requires a swarm of n autonomous mobile robots to form a sequence of patterns, aka perform a choreography. Existing work has proven that some crucial restrictions on choreographies and initial configurations (e.g., on repetitions of patterns, periodicity, symmetries, contractions/expansions) must hold so that the Dancing problem can be solved under certain robot models. Here, we prove that these necessary constraints can be dropped by considering the LUMI model (i.e., where robots are endowed with a light whose color can be chosen from a constant-size palette) under the quite unexplored sequential scheduler. We formalize the class of Universal Dancing problems which require a swarm of n robots starting from any initial configuration to perform a (periodic or finite) sequence of arbitrary patterns, only provided that each pattern consists of n vertices (including multiplicities). However, we prove that, to be solvable under LUMI, the length of the feasible choreographies is bounded by the compositions of n into the number of colors available to the robots. We provide an algorithm solving the Universal Dancing problem by exploiting the peculiar capability of sequential robots to implement a distributed counter mechanism. Even assuming non-rigid movements, our algorithm ensures spatial homogeneity of the performed choreography. Schloss Dagstuhl – Leibniz-Zentrum für Informatik Caterina Feletti and Paola Flocchini and Debasish Pattanayak and Giuseppe Prencipe and Nicola Santoro 2025 Is Part Of LIPIcs, Volume 356, 39th International Symposium on Distributed Computing (DISC 2025) InProceedings Text doc-type:ResearchArticle publishedVersion application/pdf doi:10.4230/LIPIcs.DISC.2025.56 urn:nbn:de:0030-drops-248724 https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.DISC.2025.56 eng https://creativecommons.org/licenses/by/4.0/legalcode