Evidence map›Paper›PMID 32796611›Full record

ArticleSensors (Basel, Switzerland)2020

Localization of Biobotic Insects Using Low-Cost Inertial Measurement Units.

Jeremy Cole, Alper Bozkurt, Edgar Lobaton

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. 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

3 authors.

Jeremy ColeDepartment of Electrical and Computer Engineering, NC State University, Raleigh, NC 27695, USA.ORCID 0000-0002-6732-3459
Alper BozkurtDepartment of Electrical and Computer Engineering, NC State University, Raleigh, NC 27695, USA.ORCID 0000-0002-5538-262X
Edgar LobatonDepartment of Electrical and Computer Engineering, NC State University, Raleigh, NC 27695, USA.ORCID 0000-0002-4056-8309

Funding

National Science Foundation 1239243
6 · The paper itself

Abstract

Disaster robotics is a growing field that is concerned with the design and development of robots for disaster response and disaster recovery. These robots assist first responders by performing tasks that are impractical or impossible for humans. Unfortunately, current disaster robots usually lack the maneuverability to efficiently traverse these areas, which often necessitate extreme navigational capabilities, such as centimeter-scale clearance. Recent work has shown that it is possible to control the locomotion of insects such as the Madagascar hissing cockroach (

Indexed as

DisastersRoboticsAnimalsCockroachesInsectaLocomotionbiobotscyborg insectsinertial navigationmachine learning

Identifiers

PMID32796611
PMCPMC7472076

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.