Evidence map›Paper›PMID 36904829›Full record

ArticleSensors (Basel, Switzerland)2023

Physical Length and Weight Reduction of Humanoid In-Robot Network with Zonal Architecture.

Chengyu Cui, Chulsun Park, Sungkwon Park

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Article in Sensors (Basel, Switzerland), 2023. 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.

Chengyu CuiDepartment of Electronic and Computer Engineering, Hanyang University, Seoul 04763, Republic of Korea.ORCID 0000-0002-3985-9168
Chulsun ParkDepartment of Electronic and Computer Engineering, Hanyang University, Seoul 04763, Republic of Korea.ORCID 0000-0002-3626-8522
Sungkwon ParkDepartment of Electronic and Computer Engineering, Hanyang University, Seoul 04763, Republic of Korea.ORCID 0000-0001-6144-7488

Funding

National Research Foundation of Korea No. 2022R1F1A1064288
6 · The paper itself

Abstract

Recently, with the continuous increase in the number of sensors, motors, actuators, radars, data processors and other components carried by humanoid robots, the integration of electronic components within a humanoid is also facing new challenges. Therefore, we focus on the development of sensor networks suitable for humanoid robots to designing an in-robot network (IRN) that can support a large sensor network for reliable data exchange. It was shown that the domain based in-vehicle network (IVN) architectures (DIA) used in the traditional and electric vehicles is gradually moving towards zonal IVN architectures (ZIA). Compared with DIA, ZIA for vehicles is known to provide better network scalability, maintenance convenience, shorter harness length, lighter harness weight, lower data transmission delay, and other several advantages. This paper introduces the structural differences between ZIRA and the domain based IRN architecture (DIRA) for humanoids. Additionally, it compares the differences in the length and weight of wiring harnesses of the two architectures. The results show that as the number of electrical components including sensors increases, ZIRA reduces at least 16% compared to DIRA, the wiring harness length, weight, and its cost.

Indexed as

domain architecturedomain IRN architecture (DIRA)humanoidin-robot network (IRN)in-vehicle network (IVN)robot sensor networkwiring harnesswiring lengthwiring weightzonal architecturezonal IRN architecture (ZIRA)

Identifiers

PMID36904829
PMCPMC10007397

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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.