Evidence map›Paper›PMID 39936027›Full record

ArticleCompanion of the 2024 ACM/IEEE International Conference on Human-Robot Interaction. ACM/IEEE Conference on Human-Robot Interaction (2024 : Boulder, Colo.)2024

An Evolution of Assistive Robot Control to Meet End-User Ability.

Andrew Thompson, Fabio Rizzoglio, Fiona A Neylon, Demiana R Barsoum, Lucy E Ammon, Maximus N McCune, Lee Miller, Brenna Argall

Abstract read
In one paragraph

Article in Companion of the 2024 ACM/IEEE International Conference on Human-Robot Interaction. ACM/IEEE Conference on Human-Robot Interaction (2024 : Boulder, Colo.), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. A Customizable Fitting Protocol for the Body-Machine Interface.IEEE ... International Conference on Rehabilitation Robotics : [proceedings] · 2025
    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.

Andrew ThompsonNorthwestern University, Shirley Ryan Ability Lab, Chicago, IL, USA.
Fabio RizzoglioNorthwestern University, Shirley Ryan Ability Lab, Chicago, IL, USA.
Fiona A NeylonNorthwestern University, Shirley Ryan Ability Lab, Chicago, IL, USA.
Demiana R BarsoumNorthwestern University, Shirley Ryan Ability Lab, Chicago, IL, USA.
Lucy E AmmonNorthwestern University, Shirley Ryan Ability Lab, Chicago, IL, USA.
Maximus N McCuneNorthwestern University, Shirley Ryan Ability Lab, Chicago, IL, USA.
Lee MillerNorthwestern University, Shirley Ryan Ability Lab, Chicago, IL, USA.
Brenna ArgallNorthwestern University, Shirley Ryan Ability Lab, Chicago, IL, USA.

Funding

Human and Machine Learning for Customized Control of Assistive RobotsR01EB024058 · NIBIB · REHABILITATION INSTITUTE OF CHICAGO D/B/A SHIRLEY RYAN ABILITYLAB · PI ARGALL, BRENNA · 2018 to 2024
$1.4M
NIBIB NIH HHS R01 EB024058
6 · The paper itself

Abstract

In this work, we present an evolution of system designs and studies that aim to facilitate the operation of high-DoF assistive robotic arms by persons with upper limb paralysis. We highlight the experimental pipeline and note developments in our efforts to design a suitable control map that can convert low variance residual body motions from neuromotor-impaired populations into 6-D velocity control signals for use in teleoperating a 7-DOF robotic arm. Notably, we provide results from variance analyses on raw IMU control signals from both neuromotor-impaired and unimpaired populations, and an analysis of the intrinsic dimensionality of map-building datasets gathered with and without movement guidance. We then present a preliminary 13-session study that vets the control map developed in light of these findings.

Indexed as

AccessibilityAssistive DevicesBody-Machine InterfaceRehabilitation RoboticsRobot ControlSpinal-Cord Injury

Identifiers

PMID39936027
PMCPMC11811935

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.