Evidence map›Paper›PMID 35746131›Full record

ArticleSensors (Basel, Switzerland)2022

Development of a Vision-Guided Shared-Control System for Assistive Robotic Manipulators.

Dan Ding, Breelyn Styler, Cheng-Shiu Chung, Alexander Houriet

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

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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.

Dan DingHuman Engineering Research Laboratories, VA Pittsburgh Healthcare System, Pittsburgh, PA 15206, USA.
Breelyn StylerHuman Engineering Research Laboratories, VA Pittsburgh Healthcare System, Pittsburgh, PA 15206, USA.
Cheng-Shiu ChungHuman Engineering Research Laboratories, VA Pittsburgh Healthcare System, Pittsburgh, PA 15206, USA.
Alexander HourietHuman Engineering Research Laboratories, VA Pittsburgh Healthcare System, Pittsburgh, PA 15206, USA.

Funding

Development of Vision-Guided Shared Control for Assistive Robotic ManipulatorsI01RX003242 · VA · VETERANS HEALTH ADMINISTRATION · PI DING, DAN · 2020 to 2023
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RRD VA I01 RX003242VA #1I01RX003242-01A1
6 · The paper itself

Abstract

Assistive robotic manipulators (ARMs) provide a potential solution to mitigating the difficulties and lost independence associated with manipulation deficits in individuals with upper-limb impairments. However, achieving efficient control of an ARM can be a challenge due to the multiple degrees of freedom (DoFs) of an ARM that need to be controlled. This study describes the development of a vision-guided shared-control (VGS) system and how it is applied to a multi-step drinking task. The VGS control allows the user to control the gross motion of the ARM via teleoperation and commands the ARM to autonomously perform fine manipulation. A bench-top test of the autonomous actions showed that success rates for different subtasks ranged from 80% to 100%. An evaluation with three test pilots showed that the overall task performance, in terms of success rate, task completion time, and joystick mode-switch frequency, was better with VGS than with teleoperation. Similar trends were observed with a case participant with a spinal cord injury. While his performance was better and he perceived a smaller workload with VGS, his perceived usability for VGS and teleoperation was similar. More work is needed to further improve and test VGS on participants with disabilities.

Indexed as

Persons with DisabilitiesRoboticsRobotic Surgical ProceduresSelf-Help DevicesHumansMaleUpper Extremityactivities of daily livingmulti-step taskssemi-autonomous controlupper-limb impairments

Identifiers

PMID35746131
PMCPMC9228253

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.