Evidence map›Paper›PMID 35009693›Full record

ArticleSensors (Basel, Switzerland)2021

High-Speed Handling Robot with Bionic End-Effector for Large Glass Substrate in Clean Environment.

Zhengyong Liu, Youdong Chen, Henan Song, Zhenming Xing, Hongmiao Tian, Xiaobiao Shan

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2021. 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

6 authors.

Zhengyong LiuSchool of Mechanical Engineering and Automation, Beihang University, Beijing 100191, China.ORCID 0000-0002-5244-8830
Youdong ChenSchool of Mechanical Engineering and Automation, Beihang University, Beijing 100191, China.
Henan SongState Key Laboratory of Robotics and System, Harbin Institute of Technology, Harbin 150001, China.ORCID 0000-0001-9009-0318
Zhenming XingState Key Laboratory of Robotics and System, Harbin Institute of Technology, Harbin 150001, China.
Hongmiao TianState Key Laboratory for Manufacturing Systems Engineering, Xi'an Jiaotong University, Xi'an 710049, China.
Xiaobiao ShanState Key Laboratory of Robotics and System, Harbin Institute of Technology, Harbin 150001, China.

Funding

the National Key R&D Program of China 2018YFB1308500 and 2019YFB1312202
6 · The paper itself

Abstract

The development of "large display, high performance and low cost" in the FPD industry demands glass substrates to be "larger and thinner". Therefore, the requirements of handling robots are developing in the direction of large scale, high speed, and high precision. This paper presents a novel construction of a glass substrate handling robot, which has a 2.5 m/s travelling speed. It innovatively adopts bionic end-suction technology to grasp the glass substrate more firmly. The structure design is divided into the following three parts: a travel track, a robot body, and an end-effector. The manipulator can be smoothly and rapidly extended by adjusting the transmission ratio of the reducer to 1:2:1, using only one motor to drive two sections of the arm. This robot can transfer two pieces of glass substrate at one time, and improves the working efficiency. The kinematic and dynamic models of the robot are built based on the DH coordinate. Through the positioning accuracy experiment and vibration experiment of the end-effector, it is found that the robot has high precision during handling. The robots developed in this study can be used in large-scale glass substrate handling.

Indexed as

BionicsRoboticsBiomechanical PhenomenaGlassbionic end adsorptionglass substratehandling robot

Identifiers

PMID35009693
PMCPMC8747698

What OpenQuestion holds

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LicenceCC BY
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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.