Evidence map›Paper›PMID 37512781›Full record

ArticleMicromachines2023

Universally Grasping Objects with Granular-Tendon Finger: Principle and Design.

Van Pho Nguyen, Sunil Bohra Dhyan, Boon Siew Han, Wai Tuck Chow

Abstract read
In one paragraph

Article in Micromachines, 2023. 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. Article
  2. Article
  3. 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

4 authors.

Van Pho NguyenSchool of Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore 639798, Singapore.
Sunil Bohra DhyanSchool of Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore 639798, Singapore.ORCID 0000-0001-8355-8998
Boon Siew HanSchaeffler Hub for Advanced Research at NTU, Singapore 637460, Singapore.
Wai Tuck ChowSchool of Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore 639798, Singapore.

Funding

Agency for Science, Technology and Research IAF-ICP Programme I2001E0067Japan Society for the Promotion of Science Kakenhi 20J14910
6 · The paper itself

Abstract

Nowadays, achieving the stable grasping of objects in robotics requires an increased emphasis on soft interactions. This research introduces a novel gripper design to achieve a more universal object grasping. The key feature of this gripper design was a hybrid mechanism that leveraged the soft structure provided by multiple granular pouches attached to the finger skeletons. To evaluate the performance of the gripper, a series of experiments were conducted using fifteen distinct types of objects, including cylinders, U-shaped brackets, M3 bolts, tape, pyramids, big pyramids, oranges, cakes, coffee sachets, spheres, drink sachets, shelves, pulley gears, aluminium profiles, and flat brackets. Our experimental results demonstrated that our gripper design achieved high success rates in gripping objects weighing less than 210 g. One notable advantage of the granular-tendon gripper was its ability to generate soft interactions during the grasping process while having a skeleton support to provide strength. This characteristic enabled the gripper to adapt effectively to various objects, regardless of their shape and material properties. Consequently, this work presented a promising solution for manipulating a wide range of objects with both stability and soft interaction capabilities, regardless of their individual characteristics.

Indexed as

granular gripperhybrid gripperhybrid robot handsoft grippersoft robot handtendon gripperuniversal grasp

Identifiers

PMID37512781
PMCPMC10383294

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.