TU Darmstadt / ULB / TUbiblio

Collaborative Delivery with Energy-Constrained Mobile Robots

Bärtschi, Andreas ; Chalopin, Jeremie ; Das, Shantanu ; Disser, Yann ; Geissmann, Barbara ; Graf, Daniel ; Labourel, Arnaud ; Mihalák, Matus (2016)
Collaborative Delivery with Energy-Constrained Mobile Robots.
23rd International Colloquium on Structural Information and Communication Complexity (SIROCCO 2016). Helsinki, Finnland (19.-21.07.2016)
doi: 10.1007/978-3-319-48314-6_17
Konferenzveröffentlichung, Bibliographie

Kurzbeschreibung (Abstract)

We consider the problem of collectively delivering some message from a specified source to a designated target location in a graph, using multiple mobile agents. Each agent has a limited energy which constrains the distance it can move. Hence multiple agents need to collaborate to move the message, each agent handing over the message to the next agent to carry it forward. Given the positions of the agents in the graph and their respective budgets, the problem of finding a feasible movement schedule for the agents can be challenging. We consider two variants of the problem: in non-returning delivery, the agents can stop anywhere; whereas in returning delivery, each agent needs to return to its starting location, a variant which has not been studied before. We first provide a polynomial-time algorithm for returning delivery on trees, which is in contrast to the known (weak) NP-hardness of the non-returning version. In addition, we give resource-augmented algorithms for returning delivery in general graphs. Finally, we give tight lower bounds on the required resource augmentation for both variants of the problem. In this sense, our results close the gap left by previous research.

Typ des Eintrags: Konferenzveröffentlichung
Erschienen: 2016
Autor(en): Bärtschi, Andreas ; Chalopin, Jeremie ; Das, Shantanu ; Disser, Yann ; Geissmann, Barbara ; Graf, Daniel ; Labourel, Arnaud ; Mihalák, Matus
Art des Eintrags: Bibliographie
Titel: Collaborative Delivery with Energy-Constrained Mobile Robots
Sprache: Englisch
Publikationsjahr: 4 November 2016
Verlag: Springer
Buchtitel: Structural Information and Communication Complexity
Reihe: Lecture Notes in Computer Science
Band einer Reihe: 9988
Veranstaltungstitel: 23rd International Colloquium on Structural Information and Communication Complexity (SIROCCO 2016)
Veranstaltungsort: Helsinki, Finnland
Veranstaltungsdatum: 19.-21.07.2016
DOI: 10.1007/978-3-319-48314-6_17
Kurzbeschreibung (Abstract):

We consider the problem of collectively delivering some message from a specified source to a designated target location in a graph, using multiple mobile agents. Each agent has a limited energy which constrains the distance it can move. Hence multiple agents need to collaborate to move the message, each agent handing over the message to the next agent to carry it forward. Given the positions of the agents in the graph and their respective budgets, the problem of finding a feasible movement schedule for the agents can be challenging. We consider two variants of the problem: in non-returning delivery, the agents can stop anywhere; whereas in returning delivery, each agent needs to return to its starting location, a variant which has not been studied before. We first provide a polynomial-time algorithm for returning delivery on trees, which is in contrast to the known (weak) NP-hardness of the non-returning version. In addition, we give resource-augmented algorithms for returning delivery in general graphs. Finally, we give tight lower bounds on the required resource augmentation for both variants of the problem. In this sense, our results close the gap left by previous research.

Fachbereich(e)/-gebiet(e): Exzellenzinitiative
Exzellenzinitiative > Graduiertenschulen
Exzellenzinitiative > Graduiertenschulen > Graduate School of Computational Engineering (CE)
04 Fachbereich Mathematik
04 Fachbereich Mathematik > Optimierung
04 Fachbereich Mathematik > Optimierung > Discrete Optimization
Hinterlegungsdatum: 14 Okt 2016 07:25
Letzte Änderung: 15 Jul 2022 08:13
PPN:
Export:
Suche nach Titel in: TUfind oder in Google
Frage zum Eintrag Frage zum Eintrag

Optionen (nur für Redakteure)
Redaktionelle Details anzeigen Redaktionelle Details anzeigen