Evidence map›Paper›PMID 31907314›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2020

Bioinspired sonar reflectors as guiding beacons for autonomous navigation.

Ralph Simon, Stefan Rupitsch, Markus Baumann, Huan Wu, Herbert Peremans, Jan Steckel

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Review
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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

6 authors.

Ralph SimonDepartment of Ecological Science, Vrije Universiteit Amsterdam, 1081 HV Amsterdam, The Netherlands; ralph.simon@vu.nl.ORCID 0000-0002-6083-0394
Stefan RupitschChair of Sensor Technology, Friedrich-Alexander University Erlangen-Nuremberg, 91052 Erlangen, Germany.
Markus BaumannChair of Sensor Technology, Friedrich-Alexander University Erlangen-Nuremberg, 91052 Erlangen, Germany.
Huan WuChair of Sensor Technology, Friedrich-Alexander University Erlangen-Nuremberg, 91052 Erlangen, Germany.
Herbert PeremansDepartment of Engineering Management, Faculty of Business and Economics, University of Antwerp, 2000 Antwerp, Belgium.
Jan SteckelCoSys-Lab, Faculty of Applied Engineering, University of Antwerp, B-2020 Antwerpen.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sonar sensors are universally applied in autonomous vehicles such as robots and driverless cars as they are inexpensive, energy-efficient, and provide accurate range measurements; however, they have some limitations. Their measurements can lead to ambiguous estimates and echo clutter can hamper target detection. In nature, echolocating bats experience similar problems when searching for food, especially if their food source is close to vegetation, as is the case for gleaning bats and nectar-feeding bats. However, nature has come up with solutions to overcome clutter problems and acoustically guide bats. Several bat-pollinated plants have evolved specially shaped floral parts that act as sonar reflectors, making the plants acoustically conspicuous. Here we show that artificial sonar beacons inspired by floral shapes streamline the navigation efficacy of sonar-guided robot systems. We developed floral-inspired reflector forms and demonstrate their functionality in 2 proof-of-principle experiments. First we show that the reflectors are easily recognized among dense clutter, and second we show that it is possible to discern different reflector shapes and use this identification to guide a robot through an unfamiliar environment. Bioinspired sonar reflectors could have a wide range of applications that could significantly advance sonar-guided systems.

Indexed as

autonomous navigationbioinspired sonarecholocationroboticssonar landmarks

Identifiers

PMID31907314
PMCPMC6983391

What OpenQuestion holds

Textmetadata
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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.