Evidence map›Paper›PMID 31614830›Full record

ArticleBiomimetics (Basel, Switzerland)2019

Effective Exploration Behavior for Chemical-Sensing Robots.

Kevin Nickels, Hoa Nguyen, Duncan Frasch, Timothy Davison

Open access · goldAbstract read
In one paragraph

Article in Biomimetics (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.8field-weighted citation impact, top 25% of its field
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

0 citing papers in PubMed, 5 citations in OpenAlex.

No citing paper in PubMed yet.

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

4 authors at 1 institution in 1 country.

Kevin NickelsDepartment of Engineering Science, Trinity University, One Trinity Place, San Antonio, TX 78212-7200, USA. knickels@trinity.edu.ORCID 0000-0001-9712-9983
Hoa NguyenDepartment of Mathematics, Trinity University, One Trinity Place, San Antonio, TX 78212-7200, USA. hnguyen5@trinity.edu.ORCID 0000-0002-6496-7961
Duncan FraschDepartment of Engineering Science, Trinity University, One Trinity Place, San Antonio, TX 78212-7200, USA. dfrasch@trinity.edu.
Timothy DavisonDepartment of Engineering Science, Trinity University, One Trinity Place, San Antonio, TX 78212-7200, USA. tdavison@trinity.edu.
Trinity University · US

Funding

National Science Foundation 1153796
6 · The paper itself

Abstract

Mobile robots that can effectively detect chemical effluents could be useful in a variety of situations, such as disaster relief or drug sniffing. Such a robot might mimic biological systems that exhibit chemotaxis, which is movement towards or away from a chemical stimulant in the environment. Some existing robotic exploration algorithms that mimic chemotaxis suffer from the problems of getting stuck in local maxima and becoming "lost", or unable to find the chemical if there is no initial detection. We introduce the use of the RapidCell algorithm for mobile robots exploring regions with potentially detectable chemical concentrations. The RapidCell algorithm mimics the biology behind the biased random walk of

Indexed as

chemotaxisE. colie-puckexplorationnavigationobstaclephototaxisRapidCellrobot

Identifiers

PMID31614830
PMCPMC6963878
OpenAlexW2980212385

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.