Evidence map›Paper›PMID 34683194›Full record

ArticleMicromachines2021

A 3D-Printed Fin Ray Effect Inspired Soft Robotic Gripper with Force Feedback.

Yang Yang, Kaixiang Jin, Honghui Zhu, Gongfei Song, Haojian Lu, Long Kang

Abstract read
In one paragraph

Article in Micromachines, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
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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

6 authors.

Yang YangSchool of Automation, Nanjing University of Information Science and Technology, Nanjing 210044, China.ORCID 0000-0001-6216-7437
Kaixiang JinSchool of Automation, Nanjing University of Information Science and Technology, Nanjing 210044, China.
Honghui ZhuSchool of Automation, Nanjing University of Information Science and Technology, Nanjing 210044, China.
Gongfei SongSchool of Automation, Nanjing University of Information Science and Technology, Nanjing 210044, China.
Haojian LuInstitute of Cyber-Systems and Control, State Key Laboratory of Industrial Control Technology, Zhejiang University, Hangzhou 310027, China.ORCID 0000-0002-1393-3040
Long KangPCA Lab, Key Laboratory of Intelligent Perception and Systems for High-Dimensional Information of Ministry of Education and Jiangsu Key Lab of Image and Video Understanding for Social Security, School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing 210094, China.ORCID 0000-0002-2606-8105

Funding

National Natural Science Foundation of China 52005269, 61973170, 61973168Open Research Project of the State Key Laboratory of Industrial Control Technology, Zhejiang University, China ICT2021B20the Fundamental Research Funds for the Central Universities 2020ACOCP02the Fundamental Research Funds for the Zhejiang Provincial Universities 2021XZZX021
6 · The paper itself

Abstract

Soft robotic grippers are able to carry out many tasks that traditional rigid-bodied grippers cannot perform but often have many limitations in terms of control and feedback. In this study, a Fin Ray effect inspired soft robotic gripper is proposed with its whole body directly 3D printed using soft material without the need of assembly. As a result, the soft gripper has a light weight, simple structure, is enabled with high compliance and conformability, and is able to grasp objects with arbitrary geometry. A force sensor is embedded in the inner side of the gripper, which allows the contact force required to grip the object to be measured in order to guarantee successful grasping and to provide the most suitable gripping force. In addition, it enables control and data monitoring of the gripper's operating state at all times. Characterization and grasping demonstration of the gripper are given in the Experiment section. Results show that the gripper can be used in a wide range of scenarios and applications, such as the service robot and food industry.

Indexed as

3D printingcompliant structureFin Ray effectforce feedbacksoft robotic gripper

Identifiers

PMID34683194
PMCPMC8538355

What OpenQuestion holds

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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.