Evidence map›Paper›PMID 31640285›Full record

ArticleSensors (Basel, Switzerland)2019

Integrated Robotic and Network Simulation Method.

Daniel Ramos, Luis Almeida, Ubirajara Moreno

Abstract read
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. Not yet cited in PubMed.

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

0 citing papers in PubMed.

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

3 authors.

Daniel RamosFaculty of Electric Engineering, Federal University of Uberlandia, 38701-002 Patos de Minas, Minas Gerais, Brazil. danielramos@ufu.br.ORCID 0000-0002-9782-1256
Luis AlmeidaCISTER, Instituto de Telecomunicações, FEUP-University of Porto, 4200-465 Porto, Portugal. lda@fe.up.pt.ORCID 0000-0002-9544-3028
Ubirajara MorenoAutomation and Systems Department, Federal University of Santa Catarina, 88040-900 Florianopolis, Santa Catarina, Brazil. ubirajara.f.moreno@ufsc.br.

Funding

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - Brasil (CAPES) CAPES-FCT 353/13
6 · The paper itself

Abstract

The increasing use of mobile cooperative robots in a variety of applications also implies an increasing research effort on cooperative strategies solutions, typically involving communications and control. For such research, simulation is a powerful tool to quickly test algorithms, allowing to do more exhaustive tests before implementation in a real application. However, the transition from an initial simulation environment to a real application may imply substantial rework if early implementation results do not match the ones obtained by simulation, meaning the simulation was not accurate enough. One way to improve accuracy is to incorporate network and control strategies in the same simulation and to use a systematic procedure to assess how different techniques perform. In this paper, we propose a set of procedures called Integrated Robotic and Network Simulation Method (IRoNS Method), which guide developers in building a simulation study for cooperative robots and communication networks applications. We exemplify the use of the improved methodology in a case-study of cooperative control comparison with and without message losses. This case is simulated with the OMNET++/INET framework, using a group of robots in a rendezvous task with topology control. The methodology led to more realistic simulations while improving the results presentation and analysis.

Indexed as

communication network simulationnetworked robotic systemsrobot cooperationsimulation frameworksimulation method

Identifiers

PMID31640285
PMCPMC6832280

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.