Evidence map›Paper›PMID 31877752›Full record

ArticleSensors (Basel, Switzerland)2019

Kinematic Modeling of a Combined System of Multiple Mecanum-Wheeled Robots with Velocity Compensation.

Yunwang Li, Shirong Ge, Sumei Dai, Lala Zhao, Xucong Yan, Yuwei Zheng, Yong Shi

Open access · goldAbstract 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. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
3.0field-weighted citation impact, top 8% of its field
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, 52 citations in OpenAlex.

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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

7 authors at 3 institutions in 2 countries.

Yunwang LiSchool of Mechatronic Engineering, China University of Mining and Technology, Xuzhou 221116, China.
Shirong GeSchool of Mechatronic Engineering, China University of Mining and Technology, Xuzhou 221116, China.
Sumei DaiDepartment of Mechanical Engineering, Stevens Institute of Technology, Hoboken, NJ 07030, USA.
Lala ZhaoSchool of Mechatronic Engineering, China University of Mining and Technology, Xuzhou 221116, China.
Xucong YanSchool of Mechatronic Engineering, China University of Mining and Technology, Xuzhou 221116, China.
Yuwei ZhengSchool of Mechatronic Engineering, China University of Mining and Technology, Xuzhou 221116, China.
Yong ShiDepartment of Mechanical Engineering, Stevens Institute of Technology, Hoboken, NJ 07030, USA.
China University of Mining and Technology · CNStevens Institute of Technology · USXuzhou University of Technology · CN

Funding

China Scholarship Council 201706425041National Natural Science Foundation of China 51675518Six Talent Peaks Project in Jiangsu Province JXQC-008
6 · The paper itself

Abstract

In industry, combination configurations composed of multiple Mecanum-wheeled mobile robots are adopted to transport large-scale objects. In this paper, a kinematic model with velocity compensation of the combined mobile system is created, aimed to provide a theoretical kinematic basis for accurate motion control. Motion simulations of a single four-Mecanum-wheeled virtual robot prototype on RecurDyn and motion tests of a robot physical prototype are carried out, and the motions of a variety of combined mobile configurations are also simulated. Motion simulation and test results prove that the kinematic models of single- and multiple-robot combination systems are correct, and the inverse kinematic correction model with velocity compensation matrix is feasible. Through simulations or experiments, the velocity compensation coefficients of the robots can be measured and the velocity compensation matrix can be created. This modified inverse kinematic model can effectively reduce the errors of robot motion caused by wheel slippage and improve the motion accuracy of the mobile robot system.

Indexed as

cooperative motionkinematic modelMecanum-wheeled robotrobot combination systemvelocity compensation

Identifiers

PMID31877752
PMCPMC6983209
OpenAlexW2996339651

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.