Evidence map›Paper›PMID 39248290›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2024

A Multifunctional Tactile Sensory System for Robotic Intelligent Identification and Manipulation Perception.

Yue Jiang, Lin Fan, Xilong Sun, Zehe Luo, Herong Wang, Rucong Lai, Jie Wang, Qiyang Gan, Ning Li, Jindong Tian

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2024. 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. Multisensory electronic skin with decoupled pressure-temperature-sensing capabilities for similar object recognition.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  2. Review
  3. 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

10 authors.

Yue JiangKey Laboratory of Optoelectronic Devices and Systems of Ministry of Education and Guangdong Province, College of Physics and Optoelectronic Engineering, Shenzhen University, Shenzhen, 518060, China.
Lin FanKey Laboratory of Optoelectronic Devices and Systems of Ministry of Education and Guangdong Province, College of Physics and Optoelectronic Engineering, Shenzhen University, Shenzhen, 518060, China.
Xilong SunGuangdong Laboratory of Artificial Intelligence and Digital Economy (Shenzhen), Shenzhen University, Shenzhen, 518132, China.
Zehe LuoGuangdong Laboratory of Artificial Intelligence and Digital Economy (Shenzhen), Shenzhen University, Shenzhen, 518132, China.
Herong WangKey Laboratory of Optoelectronic Devices and Systems of Ministry of Education and Guangdong Province, College of Physics and Optoelectronic Engineering, Shenzhen University, Shenzhen, 518060, China.
Rucong LaiInstitute of Applied Physics and Materials Engineering, University of Macau, Macao, 999078, China.
Jie WangKey Laboratory of Optoelectronic Devices and Systems of Ministry of Education and Guangdong Province, College of Physics and Optoelectronic Engineering, Shenzhen University, Shenzhen, 518060, China.
Qiyang GanGuangdong Laboratory of Artificial Intelligence and Digital Economy (Shenzhen), Shenzhen University, Shenzhen, 518132, China.
Ning LiGuangdong Laboratory of Artificial Intelligence and Digital Economy (Shenzhen), Shenzhen University, Shenzhen, 518132, China.ORCID 0000-0002-4536-0048
Jindong TianKey Laboratory of Optoelectronic Devices and Systems of Ministry of Education and Guangdong Province, College of Physics and Optoelectronic Engineering, Shenzhen University, Shenzhen, 518060, China.ORCID 0000-0002-0334-1762

Funding

National funded postdoctoral researcher program of China GZC20231711National funded postdoctoral researcher program of China GZC20231717National Natural Science Foundation of China 62005155National Natural Science Foundation of China 62075140Natural Science Foundation of Shenzhen Municipality JCYJ20220818100012026Postdoctoral Science Foundation of China 2024M752111
6 · The paper itself

Abstract

Humans recognize and manipulate objects relying on the multidimensional force features captured by the tactile sense of skin during the manipulation. Since the current sensors integrated in robots cannot support the robots to sense the multiple interaction states between manipulator and objects, achieving human-like perception and analytical capabilities remains a major challenge for service robots. Prompted by the tactile perception involved in robots performing complex tasks, a multimodal tactile sensory system is presented to provide in situ simultaneous sensing for robots when approaching, touching, and manipulating objects. The system comprises a capacitive sensor owning the high sensitivity of 1.11E-2 pF mm

Indexed as

RoboticsEquipment DesignHumansTouchTouch Perceptioninteraction state perceptionlotus nanofibermulti‐feature recognitionmultimodal tactileMXene

Identifiers

PMID39248290
PMCPMC11538698

What OpenQuestion holds

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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.