Collective Anomaly Perception During Multi-Robot Patrol: Constrained Interactions Can Promote Accurate Consensus

Date published

2024-01-22T10:35:27Z

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Volume Title

Publisher

Cranfield University

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Type

Poster

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Format

Citation

Madin, Zachary (2024). Collective Anomaly Perception During Multi-Robot Patrol: Constrained Interactions Can Promote Accurate Consensus. Cranfield Online Research Data (CORD). Poster. https://doi.org/10.17862/cranfield.rd.25040054.v1

Abstract

Poster contribution to the Defence and Security Doctoral Symposium 2023

Description

Software Description

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Github

Keywords

Multi-robot patrol, collective learning, algebraic connectivity, collective consensus, DSDS23, DSDS23 Poster

DOI

10.17862/cranfield.rd.25040054.v1

Rights

CC BY 4.0

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Funder/s

University of Bristol