Collective Anomaly Perception During Multi-Robot Patrol: Constrained Interactions Can Promote Accurate Consensus
Date
2024-01-22T10:35:27Z
Authors
Supervisor/s
Journal Title
Journal ISSN
Volume Title
Publisher
Cranfield University
Department
Type
Poster
ISSN
Format
Free to read from
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
Software Language
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
Relationships
Relationships
Supplements
Funder/s
University of Bristol