Evidence map›Paper›PMID 31404963›Full record

ArticleSensors (Basel, Switzerland)2019

Olfaction, Vision, and Semantics for Mobile Robots. Results of the IRO Project.

Javier Monroy, Jose-Raul Ruiz-Sarmiento, Francisco-Angel Moreno, Cipriano Galindo, Javier Gonzalez-Jimenez

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Sensors (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Javier MonroyMachine Perception and Intelligent Robotics group (MAPIR), Dept. of System Engineering and Automation Biomedical Research Institute of Malaga (IBIMA), University of Malaga, 29071 Málaga, Spain. jgmonroy@uma.es.ORCID 0000-0001-7869-7811
Jose-Raul Ruiz-SarmientoMachine Perception and Intelligent Robotics group (MAPIR), Dept. of System Engineering and Automation Biomedical Research Institute of Malaga (IBIMA), University of Malaga, 29071 Málaga, Spain.ORCID 0000-0002-9929-5309
Francisco-Angel MorenoMachine Perception and Intelligent Robotics group (MAPIR), Dept. of System Engineering and Automation Biomedical Research Institute of Malaga (IBIMA), University of Malaga, 29071 Málaga, Spain.ORCID 0000-0003-2997-7571
Cipriano GalindoMachine Perception and Intelligent Robotics group (MAPIR), Dept. of System Engineering and Automation Biomedical Research Institute of Malaga (IBIMA), University of Malaga, 29071 Málaga, Spain.ORCID 0000-0003-2922-1969
Javier Gonzalez-JimenezMachine Perception and Intelligent Robotics group (MAPIR), Dept. of System Engineering and Automation Biomedical Research Institute of Malaga (IBIMA), University of Malaga, 29071 Málaga, Spain.ORCID 0000-0003-3845-3497

Funding

Consejería de Economía, Innovación, Ciencia y Empleo, Junta de Andalucía TEP2012-530
6 · The paper itself

Abstract

Olfaction is a valuable source of information about the environment that has not been sufficiently exploited in mobile robotics yet. Certainly, odor information can contribute to other sensing modalities, e.g., vision, to accomplish high-level robot activities, such as task planning or execution in human environments. This paper organizes and puts together the developments and experiences on combining olfaction and vision into robotics applications, as the result of our five-years long project

Indexed as

chemical sensorse-nosegas distribution mappinggas source localizationmachine learningobject recognitionontologyroboticsrobotics olfactionsemantic networks

Identifiers

PMID31404963
PMCPMC6720589

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.