Evidence map›Paper›PMID 35683937›Full record

ArticlePolymers2022

A Proprioceptive Soft Robot Module Based on Supercoiled Polymer Artificial Muscle Strings.

Yang Yang, Honghui Zhu, Jia Liu, Haojian Lu, Yi Ren, Michael Yu Wang

Abstract read
In one paragraph

Article in Polymers, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
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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
Honghui ZhuSchool of Automation, Nanjing University of Information Science and Technology, Nanjing 210044, China.
Jia LiuSchool of Automation, Nanjing University of Information Science and Technology, Nanjing 210044, China.
Haojian LuState Key Laboratory of Industrial Control and Technology, Institute of Cyber-Systems and Control, Zhejiang University, Hangzhou 310027, China.ORCID 0000-0002-1393-3040
Yi RenRobotics X Lab, Tencent, Shenzhen 518000, China.
Michael Yu WangDepartment of Mechanical and Aerospace Engineering, The Hong Kong University of Science and Technology, Hong Kong, China.

Funding

National Natural Science Foundation of China 52005269, 61773219the Fundamental Research Funds for the Zhejiang Provincial Universities 2021XZZX021the Open Research Project of the State Key Laboratory of Industrial Control Technology, Zhejiang University, China ICT2022B51the Postgraduate Research & Practice Innovation Program of Jiangsu Province SJCX22_0350the Research Grants Council of Hong Kong GRF No.16200919
6 · The paper itself

Abstract

In this paper, a multi-functional soft robot module that can be used to constitute a variety of soft robots is proposed. The body of the soft robot module made of rubber is in the shape of a long strip, with cylindrical chambers at both the top end and bottom end of the module for the function of actuators and sensors. The soft robot module is driven by supercoiled polymer artificial muscle (SCPAM) strings, which are made from conductive nylon sewing threads. Artificial muscle strings are embedded in the chambers of the module to control its deformation. In addition, SCPAM strings are also used for the robot module's sensing based on the linear relationship between the string's length and their resistance. The bending deformation of the robot is measured by the continuous change of the sensor's resistance during the deformation of the module. Prototypes of an inchworm-like crawling robot and a soft robotic gripper are made, whose crawling ability and grasping ability are tested, respectively. We envision that the proposed proprioceptive soft robot module could potentially be used in other robotic applications, such as continuum robotic arm or underwater robot.

Indexed as

actuation–sensing integrationcrawlinggrippingproprioceptive sensingSCPAM stringssoft robot module

Identifiers

PMID35683937
PMCPMC9182732

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Registered trials

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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.