Evidence map›Paper›PMID 34738735›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2022

Robotic Manipulation under Harsh Conditions Using Self-Healing Silk-Based Iontronics.

Mengwei Liu, Yujia Zhang, Yanghong Zhang, Zhitao Zhou, Nan Qin, Tiger H Tao

Abstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Ionic-Bionic Interfaces: Advancing Iontronic Strategies for Bioelectronic Sensing and Therapy.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Review
  2. Article
  3. Article
  4. Review
  5. Recent Progress in Artificial Neurons for Neuromodulation.Journal of functional biomaterials · 2024
    Review
  6. Article
  7. Article
  8. Review
  9. Article
  10. Robotic Manipulation under Harsh Conditions Using Self-Healing Silk-Based Iontronics.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2022
    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

6 authors.

Mengwei LiuState Key Laboratory of Transducer Technology, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai, 200050, China.
Yujia ZhangState Key Laboratory of Transducer Technology, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai, 200050, China.
Yanghong ZhangState Key Laboratory of Transducer Technology, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai, 200050, China.
Zhitao ZhouState Key Laboratory of Transducer Technology, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai, 200050, China.
Nan QinState Key Laboratory of Transducer Technology, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai, 200050, China.
Tiger H TaoState Key Laboratory of Transducer Technology, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai, 200050, China.ORCID 0000-0002-6583-5039

Funding

Key Research Program of Frontier Sciences, CAS ZDBS-LY-JSC024National Natural Science Foundation of China 51703239National Natural Science Foundation of China 61574156National Natural Science Foundation of China 61904187National Science and Technology Major Project from the Minister of Science and Technology of China 2018AAA0103100National Science and Technology Major Project from the Minister of Science and Technology of China 2019YFA0905200National Science and Technology Major Project from the Minister of Science and Technology of China 2020AAA0130100National Science Fund for Excellent Young Scholars 61822406Shanghai Outstanding Academic Leaders Plan 18XD1404700Shanghai Sailing Program 17YF1422800Shanghai Sailing Program 19YF1456700the Scientific Instrument Developing Project of the Chinese Academy of Sciences YJKYYQ20170060Youth Innovation Promotion Association CAS 2019236
6 · The paper itself

Abstract

Progress toward intelligent human-robotic interactions requires monitoring sensors that are mechanically flexible, facile to implement, and able to harness recognition capability under harsh environments. Conventional sensing methods have been divided for human-side collection or robot-side feedback and are not designed with these criteria in mind. However, the iontronic polymer is an example of a general method that operates properly on both human skin (commonly known as skin electronics or iontronics) and the machine/robotic surface. Here, a unique iontronic composite (silk protein/glycerol/Ca(II) ion) and supportive molecular mechanism are developed to simultaneously achieve high conductivity (around 6 kΩ at 50 kHz), self-healing (within minutes), strong stretchability (around 1000%), high strain sensitivity and transparency, and universal adhesiveness across a broad working temperature range (-40-120 °C). Those merits facilitate the development of iontronic sensing and the implementation of damage-resilient robotic manipulation. Combined with a machine learning algorithm and specified data collection methods, the system is able to classify 1024 types of human and robot hand gestures under challenging scenarios and to offer excellent object recognition with an accuracy of 99.7%.

Indexed as

gesture/object recognitionhuman-machine interfacesilk-based iontronicsskin electronics/iontronics

Identifiers

PMID34738735
PMCPMC8805592

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.