Fluid Pressure Sensing Strategy Suitable for Swallowing Soft Gripper.

Mingge Li, Wenxi Zhang, Quan Liu, Zhongjun Yin

Abstract read

In one paragraph

Article in Sensors (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed

–field-weighted citation impact

1 · What the graph read from it

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0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Mingge LiThe School of Mechanical Engineering, University of Science and Technology Beijing, Beijing 100083, China.

Wenxi ZhangThe School of Mechanical Engineering, University of Science and Technology Beijing, Beijing 100083, China.

Quan LiuThe School of Mechanical Engineering, University of Science and Technology Beijing, Beijing 100083, China.ORCID 0009-0003-9177-5599

Zhongjun YinThe School of Mechanical Engineering, University of Science and Technology Beijing, Beijing 100083, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Soft grippers exhibit excellent adaptability in handling objects of various shapes. However, due to the large deformation and high compliance of their constituent materials, the integration of sensing capabilities has long been a major research challenge. Based on the swallowing-type soft gripper proposed in previous work, this study explores the gripper's capability to perceive object information by leveraging the characteristic that the sealed cavity undergoes volume change due to compression by the object during swallowing, thereby altering the pressure of the internal fluid medium. By establishing the geometric configuration of the sealed cavity composed of elastic membranes, the volume-pressure variation sensing model during the object swallowing process was derived. The performance of this sensing method was tested, and the application of the fluid pressure sensing strategy in closed-loop control was demonstrated, including the classification of objects by shape and sorting by size. This work provides a solution for the object shape-adaptive swallowing-type soft gripper to achieve sensory grasping functionality.

Indexed as

feedbackfluid pressuresoft grippersoft sensors

Identifiers

PMID41682476

DOI10.3390/s26030960

PMCPMC12899872

What OpenQuestion holds

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LicenceCC BY

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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.