Evidence map›Paper›PMID 38948904›Full record

ArticleIEEE robotics and automation letters2024

Investigating Haptic Feedback in Vision-Deficient Millirobot Telemanipulation.

Naveed D Riaziat, Onder Erin, Axel Krieger, Jeremy D Brown

Abstract read
In one paragraph

Article in IEEE robotics and automation letters, 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. 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

4 authors.

Naveed D RiaziatDepartment of Mechanical Engineering, Johns Hopkins University, 3400 North Charles Street, Baltimore, Maryland, USA.
Onder ErinDepartment of Mechanical Engineering, Johns Hopkins University, 3400 North Charles Street, Baltimore, Maryland, USA. He is now with Johnson and Johnson, 5490 Great America Parkway, Santa Clara, California, USA.
Axel KriegerDepartment of Mechanical Engineering, Johns Hopkins University, 3400 North Charles Street, Baltimore, Maryland, USA.
Jeremy D BrownDepartment of Mechanical Engineering, Johns Hopkins University, 3400 North Charles Street, Baltimore, Maryland, USA.

Funding

3D-Nanoprinted Soft Robotic Microcatheters with Integrated Microfluidic Circuitry for Cerebrovascular SurgeryR01EB033354 · NIBIB · UNIV OF MARYLAND, COLLEGE PARK · PI SOCHOL, RYAN DANIEL · 2022 to 2025
$2.7M
NIBIB NIH HHS R01 EB033354
6 · The paper itself

Abstract

The evolution of magnetically actuated millirobots gives rise to unique teleoperation challenges due to their non-traditional kinematic and dynamic architectures, as well as their frequent use of suboptimal imaging modalities. Recent investigations into haptic interfaces for millirobots have shown promise but lack the clinically motivated task scenarios necessary to justify future development. In this work, we investigate the utility of haptic feedback on bilateral teleoperation of a magnetically actuated millirobot in visually deficient conditions. We conducted an N=23 user study in an aneurysm coiling inspired procedure, which required participants to navigate the robot through a maze in near total darkness to manipulate beads to a target under simulated fluoroscopy. We hypothesized that users will be better able to complete the telemanipulation task with haptic feedback while reducing excess forces on their surroundings compared to the no feedback conditions. Our results showed an over 40% improvement in participants' bead scoring, a nearly 10% reduction in mean force, and 13% reduction in maximum force with haptic feedback, as well as significant improvements in other metrics. Results highlight that benefits of haptic feedback are retained when haptic feedback is removed. These findings suggest that haptic feedback has the potential to significantly improve millirobot telemanipulation and control in traditionally vision deficient tasks.

Indexed as

Haptics and Haptic InterfacesMedical Robots and SystemsTelerobotics and Teleoperation

Identifiers

PMID38948904
PMCPMC11210683

What OpenQuestion holds

Textmetadata
LicenceTDM
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.