Evidence map›Paper›PMID 30374298›Full record

ArticleFrontiers in neurorobotics2018

Stability of Mina v2 for Robot-Assisted Balance and Locomotion.

Carlotta Mummolo, William Z Peng, Shlok Agarwal, Robert Griffin, Peter D Neuhaus, Joo H Kim

Abstract read
In one paragraph

Article in Frontiers in neurorobotics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 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

6 authors.

Carlotta MummoloDepartment of Mechanical and Aerospace Engineering, New York University, Brooklyn, NY, United States.
William Z PengDepartment of Mechanical and Aerospace Engineering, New York University, Brooklyn, NY, United States.
Shlok AgarwalFlorida Institute for Human and Machine Cognition, Pensacola, FL, United States.
Robert GriffinFlorida Institute for Human and Machine Cognition, Pensacola, FL, United States.
Peter D NeuhausFlorida Institute for Human and Machine Cognition, Pensacola, FL, United States.
Joo H KimDepartment of Mechanical and Aerospace Engineering, New York University, Brooklyn, NY, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The assessment of the risk of falling during robot-assisted locomotion is critical for gait control and operator safety, but has not yet been addressed through a systematic and quantitative approach. In this study, the balance stability of Mina v2, a recently developed powered lower-limb robotic exoskeleton, is evaluated using an algorithmic framework based on center of mass (COM)- and joint-space dynamics. The equivalent mechanical model of the combined human-exoskeleton system in the sagittal plane is established and used for balance stability analysis. The properties of the Linear Linkage Actuator, which is custom-designed for Mina v2, are analyzed to obtain mathematical models of torque-velocity limits, and are implemented as constraint functions in the optimization formulation. For given feet configurations of the robotic exoskeleton during flat ground walking, the algorithm evaluates the maximum allowable COM velocity perturbations along the fore-aft directions at each COM position of the system. The resulting velocity extrema form the contact-specific balance stability boundaries (BSBs) of the combined system in the COM state space, which represent the thresholds between balanced and unbalanced states for given contact configurations. The BSBs are obtained for the operation of Mina v2 without crutches, thus quantifying Mina v2's capability of maintaining balance through the support of the leg(s). Stability boundaries in single and double leg supports are used to analyze the robot's stability performance during flat ground walking experiments, and provide design and control implications for future development of crutch-less robotic exoskeletons.

Indexed as

balance stability boundarycombined human-exoskeleton systemlinear linkage actuatorMina v2robotic exoskeleton

Identifiers

PMID30374298
PMCPMC6196256

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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.