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Cited by 451

The DOI matches its Crossref record; 31 of the 31 references it cites were found in a registry or an index.

Distributed odor source localization

Open access
Hayes, A.T., Martinoli, A., Goodman, R.M.·2002·IEEE Sensors Journal

Abstract

This paper presents an investigation of odor localization by groups of autonomous mobile robots. First, we describe a distributed algorithm by which groups of agents can solve the full odor localization task. Next, we establish that conducting polymer-based odor sensors possess the combination of speed and sensitivity necessary to enable real world odor plume tracing and we demonstrate that simple local position, odor, and flow information, tightly coupled with robot behavior, is sufficient to allow a robot to localize the source of an odor plume. Finally, we show that elementary communication among a group of agents can increase the efficiency of the odor localization system performance.

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Crossref · 10.1109/jsen.2002.800682

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Metadata

Authors
Hayes, A. T., Martinoli, A., & Goodman, R. M.
Venue
IEEE Sensors Journal
Published
2002-06
Volume
2
Issue
3
Pages
260-271
ISSN
1530-437X (ISSN-L)
OpenAlex
W2133102514
Cited by
451
References
31
FWCI
21.22
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Distributed odor source localization. https://app.cochat.ai/papers/10.1109/jsen.2002.800682
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Hayes, A. T., Martinoli, A., & Goodman, R. M. (2002). Distributed odor source localization. IEEE Sensors Journal. https://doi.org/10.1109/jsen.2002.800682

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.