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https://doi.org/10.1109/cdc.20...
Article . 2016 . Peer-reviewed
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https://dx.doi.org/10.48550/ar...
Article . 2016
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Decentralized biconnectivity conditions in multi-robot systems

Authors: Zareh, Mehran; Sabattini, Lorenzo; Secchi, Cristian;

Decentralized biconnectivity conditions in multi-robot systems

Abstract

The network connectivity in a group of cooperative robots can be easily broken if one of them loses its connectivity with the rest of the group. In case of having robustness with respect to one-robot-fail, the communication network is termed biconnected. In simple words, to have a biconnected network graph, we need to prove that there exists no articulation point. We propose a decentralized approach that provides sufficient conditions for biconnectivity of the network, and we prove that these conditions are related to the third smallest eigenvalue of the Laplacian matrix. Data exchange among the robots is supposed to be neighbor-to-neighbor.

Country
Italy
Keywords

FOS: Computer and information sciences, Systems and Control (eess.SY), Dynamical Systems (math.DS), Electrical Engineering and Systems Science - Systems and Control, Computer Science - Robotics, FOS: Electrical engineering, electronic engineering, information engineering, FOS: Mathematics, Computer Science - Multiagent Systems, Mathematics - Dynamical Systems, Robotics (cs.RO), Artificial Intelligence; Decision Sciences (miscellaneous); Control and Optimization, Multiagent Systems (cs.MA)

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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