Evidence map›Paper›PMID 39047112›Full record

ArticleScience advances2024

Quantitative softness and texture bimodal haptic sensors for robotic clinical feature identification and intelligent picking.

Ye Qiu, Fangnan Wang, Zhuang Zhang, Kuanqiang Shi, Yi Song, Jiutian Lu, Minjia Xu, Mengyuan Qian, Wenan Zhang, Jixuan Wu and 5 more

Abstract read
In one paragraph

Article in Science advances, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing 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

25 citing papers in PubMed.

  1. Article
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  10. Article
  11. Article
  12. Stretchable Curvature Sensors for Motion Capture with Bending-Stretching Coupling Deformation.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  13. Article
  14. Article
  15. A neuromorphic robotic electronic skin with active pain and injury perception.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  16. Review
  17. Article
  18. 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
  19. Article
  20. Review
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

15 authors.

Ye QiuCollege of Mechanical Engineering, Key Laboratory of Special Purpose Equipment and Advanced Processing Technology, Zhejiang University of Technology, Hangzhou, Zhejiang 310023, China.ORCID 0009-0001-3703-9000
Fangnan WangCollege of Mechanical Engineering, Key Laboratory of Special Purpose Equipment and Advanced Processing Technology, Zhejiang University of Technology, Hangzhou, Zhejiang 310023, China.
Zhuang ZhangSchool of Engineering, Westlake University, Hangzhou, Zhejiang 310030, China.ORCID 0000-0002-3834-3477
Kuanqiang ShiCollege of Mechanical Engineering, Key Laboratory of Special Purpose Equipment and Advanced Processing Technology, Zhejiang University of Technology, Hangzhou, Zhejiang 310023, China.
Yi SongCollege of Mechanical Engineering, Key Laboratory of Special Purpose Equipment and Advanced Processing Technology, Zhejiang University of Technology, Hangzhou, Zhejiang 310023, China.ORCID 0000-0001-9239-5377
Jiutian LuCollege of Mechanical Engineering, Key Laboratory of Special Purpose Equipment and Advanced Processing Technology, Zhejiang University of Technology, Hangzhou, Zhejiang 310023, China.
Minjia XuCollege of Mechanical Engineering, Key Laboratory of Special Purpose Equipment and Advanced Processing Technology, Zhejiang University of Technology, Hangzhou, Zhejiang 310023, China.
Mengyuan QianCollege of Information Engineering, Zhejiang University of Technology, Hangzhou, Zhejiang 310023, China.
Wenan ZhangCollege of Information Engineering, Zhejiang University of Technology, Hangzhou, Zhejiang 310023, China.ORCID 0000-0002-4355-2783
Jixuan WuCollege of Mechanical Engineering, Key Laboratory of Special Purpose Equipment and Advanced Processing Technology, Zhejiang University of Technology, Hangzhou, Zhejiang 310023, China.
Zheng ZhangCollege of Mechanical Engineering, Key Laboratory of Special Purpose Equipment and Advanced Processing Technology, Zhejiang University of Technology, Hangzhou, Zhejiang 310023, China.
Hao ChaiZhijiang College of Zhejiang University of Technology, Shaoxing, Zhejiang 312030, China.
Aiping LiuCenter for Optoelectronics Materials and Devices, Zhejiang Sci-Tech University, Hangzhou, Zhejiang 310018, China.ORCID 0000-0002-2338-062X
Hanqing JiangSchool of Engineering, Westlake University, Hangzhou, Zhejiang 310030, China.ORCID 0000-0002-1947-4420
Huaping WuCollege of Mechanical Engineering, Key Laboratory of Special Purpose Equipment and Advanced Processing Technology, Zhejiang University of Technology, Hangzhou, Zhejiang 310023, China.ORCID 0000-0003-4505-7062

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Replicating human somatosensory networks in robots is crucial for dexterous manipulation, ensuring the appropriate grasping force for objects of varying softness and textures. Despite advances in artificial haptic sensing for object recognition, accurately quantifying haptic perceptions to discern softness and texture remains challenging. Here, we report a methodology that uses a bimodal haptic sensor to capture multidimensional static and dynamic stimuli, allowing for the simultaneous quantification of softness and texture features. This method demonstrates synergistic measurements of elastic and frictional coefficients, thereby providing a universal strategy for acquiring the adaptive gripping force necessary for scarless, antislippage interaction with delicate objects. Equipped with this sensor, a robotic manipulator identifies porcine mucosal features with 98.44% accuracy and stably grasps visually indistinguishable mature white strawberries, enabling reliable tissue palpation and intelligent picking. The design concept and comprehensive guidelines presented would provide insights into haptic sensor development, promising benefits for robotics.

Indexed as

RoboticsAnimalsHand StrengthHumansSwineTouch

Identifiers

PMID39047112
PMCPMC11268415

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.