Evidence map›Paper›PMID 35808331›Full record

ArticleSensors (Basel, Switzerland)2022

Autonomous 6-DOF Manipulator Operation for Moving Target by a Capture and Placement Control System.

Xiang Chen, Peilin Liu, Rendong Ying, Fei Wen

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.6field-weighted citation impact, top 33% 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

1 citing paper in PubMed, 6 citations in OpenAlex.

  1. 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

4 authors at 1 institution in 1 country.

Xiang ChenSchool of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China.ORCID 0000-0002-3640-060X
Peilin LiuSchool of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China.
Rendong YingSchool of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China.
Fei WenSchool of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China.
Shanghai Jiao Tong University · CN

Funding

Fund Project of Science and Technology Commission of Shanghai Municipality 19511105603Industry University Research Fund Project of Yantai Information Technology Research Institute of Shanghai Jiao Tong University G19YTJC003
6 · The paper itself

Abstract

The robot control technology combined with a machine vision system provides a feasible method for the autonomous operation of moving target. However, designing an effective visual servo control system is a great challenge. For the autonomous operation of the objects moving on the pipeline, this article is dedicated to developing a capture and placement control system for the six degrees of freedom (6-DOF) manipulator equipped with an eye-in-hand camera. Firstly, a path planning strategy of online capture and offline placement is proposed for real-time capture and efficient placement. Subsequently, to achieve the fast, stable, and robust capture for a moving target, a position-based visual servo (PBVS) controller is developed by combining estimated velocity feedforward and refined PID control. Feedforward control is designed using the estimated velocity by a proposed motion estimation method for high response speed. PID control is refined by dead zone constraint to reduce the manipulator's jitter caused by the frequent adjustment of manipulator control system. Besides, the proportional, integral, and differential coefficients of PID controller are adaptively tuned by fuzzy control to reject the noise, disturbance, and dynamic variation in the capture process. Finally, validation experiments are performed on the constructed ROS-Gazebo simulation platform, demonstrating the effectiveness of the developed control system.

Indexed as

6-DOF manipulatorautonomous operationcapture and placementrefined PIDvelocity feedforward

Identifiers

PMID35808331
PMCPMC9269542
OpenAlexW4283577633

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.