Evidence map›Paper›PMID 39286448›Full record

ArticleDesigns2024

Development of a Three-Finger Adaptive Robotic Gripper to Assist Activities of Daily Living.

Mahbubur Rahman, Tanzil Shahria, Samiul Haque Sunny, Mahafuzur Rahaman Khan, Emroze Islam, Asif Al Zubayer Swapnil, David Bedolla-Martínez, Mohammad H Rahman

Abstract read
In one paragraph

Article in Designs, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

8 authors.

Mahbubur RahmanMechanical Engineering, University of Wisconsin-Milwaukee, Milwaukee, WI 53211, USA.ORCID 0000-0003-4627-0009
Tanzil ShahriaComputer Science, University of Wisconsin-Milwaukee, Milwaukee, WI 53211, USA.ORCID 0000-0002-1797-3736
Samiul Haque SunnyComputer Science, University of Wisconsin-Milwaukee, Milwaukee, WI 53211, USA.ORCID 0000-0002-6584-1877
Mahafuzur Rahaman KhanMechanical Engineering, University of Wisconsin-Milwaukee, Milwaukee, WI 53211, USA.
Emroze IslamIndustrial Engineering and Management, Khulna University of Engineering & Technology, Khulna 9203, Bangladesh.
Asif Al Zubayer SwapnilMechanical Engineering, University of Wisconsin-Milwaukee, Milwaukee, WI 53211, USA.
David Bedolla-MartínezInstituto de Ingeniería Industrial y Automotriz, Universidad Tecnológica de la Mixteca, Huajuapan de León, Oaxaca 69000 Mexico.ORCID 0000-0001-8552-6842
Mohammad H RahmanMechanical Engineering, University of Wisconsin-Milwaukee, Milwaukee, WI 53211, USA.ORCID 0000-0002-6370-8757

Funding

ACL HHS 90DPGE0018ACL HHS 90DPKT0015
6 · The paper itself

Abstract

A significant number of individuals in the United States use assistive devices to enhance their mobility, and a considerable portion of those who depend on such aids require assistance from another individual in performing daily living activities. The introduction of robotic grippers has emerged as a transformative intervention, significantly contributing to the cultivation of independence. However, there are few grippers in the fields, which help with mimicking human hand-like movements (mostly grasping and pinching, with adoptive force control) to grasp and carry objects. Additionally, the data are not available even on how many Activities of Daily Living (ADL) objects they can handle. The goal of the research is to offer a new three-fingered gripper for daily living assistance, which can both grasp and pinch with adaptive force, enabling the capabilities of handling wide-ranging ADL objects with a minimal footprint. It is designed to handle 90 selective essential ADL objects of different shapes (cylindrical, irregular, rectangular, and round), sizes, weights, and textures (smooth, rough, bumpy, and rubbery). The gripper boasts a meticulously engineered yet simple design, facilitating seamless manufacturing through 3D printing technology without compromising its operational efficacy. The gripper extends its functionality beyond conventional grasping, featuring the capability to pinch (such as holding a credit card) and securely hold lightweight objects. Moreover, the gripper is adaptable to grasping various objects with different shapes and weights with controlled forces. In evaluation, the developed gripper went through rigorous load tests and usability tests. The results demonstrated that the users picked and placed 75 objects out of 90 daily objects. The gripper held and manipulated objects with dimensions from 25 mm to 80 mm and up to 2.9 kg. For heavy-weight objects (like books) where the centroid is far apart from the grasping areas, it is difficult to hold them due to high torque. However, objects' textures have no significant effect on grasping performance. Users perceived the simplicity of the gripper. Further investigation is required to assess the utility and longevity of grippers. This study contributes to developing assistive robots designed to enhance object manipulation, thereby improving individuals' independence and overall quality of life.

Indexed as

ADLsassistive grippersrobotic hands

Identifiers

PMID39286448
PMCPMC11404545

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.