Laman graphs are generically bearing rigid in arbitrary dimensions

Shiyu Zhao, Zhiyong Sun, Daniel Zelazo, Minh Hoang Trinh, Hyo Sung Ahn

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    24 Citations (Scopus)

    Abstract

    This paper addresses the problem of constructing bearing rigid networks in arbitrary dimensions. We first show that the bearing rigidity of a network is a generic property that is critically determined by the underlying graph of the network. A new notion termed generic bearing rigidity is defined for graphs. If the underlying graph of a network is generically bearing rigid, then the network is bearing rigid for almost all configurations; otherwise, the network is not bearing rigid for any configuration. As a result, the key to construct bearing rigid networks is to construct generically bearing rigid graphs. The main contribution of this paper is to prove that Laman graphs, which can be generated by the Henneberg construction, are generically bearing rigid in arbitrary dimensions. As a consequence, if the underlying graph of a network is Laman, the network is bearing rigid for almost all configurations in arbitrary dimensions.

    Original languageEnglish
    Title of host publication2017 IEEE 56th Annual Conference on Decision and Control, CDC 2017
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    Pages3356-3361
    Number of pages6
    ISBN (Electronic)9781509028733
    DOIs
    Publication statusPublished - 28 Jun 2017
    Event56th IEEE Annual Conference on Decision and Control, CDC 2017 - Melbourne, Australia
    Duration: 12 Dec 201715 Dec 2017

    Publication series

    Name2017 IEEE 56th Annual Conference on Decision and Control, CDC 2017
    Volume2018-January

    Conference

    Conference56th IEEE Annual Conference on Decision and Control, CDC 2017
    Country/TerritoryAustralia
    CityMelbourne
    Period12/12/1715/12/17

    Fingerprint

    Dive into the research topics of 'Laman graphs are generically bearing rigid in arbitrary dimensions'. Together they form a unique fingerprint.

    Cite this