Evidence map›Paper›PMID 33778012›Full record

ArticleFrontiers in robotics and AI2020

Soft Origami Optical-Sensing Actuator for Underwater Manipulation.

Zhong Shen, Yafei Zhao, Hua Zhong, Kailuan Tang, Yishan Chen, Yin Xiao, Juan Yi, Sicong Liu, Zheng Wang

Abstract read
In one paragraph

Article in Frontiers in robotics and AI, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Review
  5. Article
  6. Article
  7. Article
  8. 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

9 authors.

Zhong ShenDepartment of Mechanical Engineering, The University of Hong Kong, Hong Kong, China.
Yafei ZhaoDepartment of Computer Science, The University of Hong Kong, Hong Kong, China.
Hua ZhongDepartment of Computer Science, The University of Hong Kong, Hong Kong, China.
Kailuan TangDepartment of Mechanical and Energy Engineering, Southern University of Science and Technology, Shen Zhen, China.
Yishan ChenDepartment of Mechanical and Energy Engineering, Southern University of Science and Technology, Shen Zhen, China.
Yin XiaoDepartment of Mechanical and Energy Engineering, Southern University of Science and Technology, Shen Zhen, China.
Juan YiDepartment of Mechanical and Energy Engineering, Southern University of Science and Technology, Shen Zhen, China.
Sicong LiuDepartment of Mechanical and Energy Engineering, Southern University of Science and Technology, Shen Zhen, China.
Zheng WangDepartment of Mechanical Engineering, The University of Hong Kong, Hong Kong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Soft robots are ideal for underwater manipulation in sampling and other servicing applications. Their unique features of compliance, adaptability, and being naturally waterproof enable robotic designs to be compact and lightweight, while achieving uncompromized dexterity and flexibility. However, the inherent flexibility and high nonlinearity of soft materials also results in combined complex motions, which creates both soft actuator and sensor challenges for force output, modeling, and sensory feedback, especially under highly dynamic underwater environments. To tackle these limitations, a novel Soft Origami Optical-Sensing Actuator (SOSA) with actuation and sensing integration is proposed in this paper. Inspired by origami art, the proposed sensorized actuator enables a large force output, contraction/elongation/passive bending actuation by fluid, and hybrid motion sensing with optical waveguides. The SOSA design brings two major novelties over current designs. First, it involves a new actuation-sensing mode which enables a superior large payload output and a robust and accurate sensing performance by introducing the origami design, significantly facilitating the integration of sensing and actuating technology for wider applications. Secondly, it simplifies the fabrication process for harsh environment application by investigating the boundary features between optical waveguides and ambient water, meaning the external cladding layer of traditional sensors is unnecessary. With these merits, the proposed actuator could be applied to harsh environments for complex interaction/operation tasks. To showcase the performance of the proposed SOSA actuator, a hybrid underwater 3-DOFs manipulator has been developed. The entire workflow on concept design, fabrication, modeling, experimental validation, and application are presented in detail as reference for wider effective robot-environment applications.

Indexed as

actuatoroptical sensingorigamisoft roboticsunderwater manipulation

Identifiers

PMID33778012
PMCPMC7988097

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.