Evidence map›Paper›PMID 29104363›Full record

ArticleProceedings of the ... American Control Conference. American Control Conference2017

Towards Total Energy Shaping Control of Lower-Limb Exoskeletons.

Ge Lv, Robert D Gregg

Abstract read
In one paragraph

Article in Proceedings of the ... American Control Conference. American Control Conference, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Passivity-Based Control with a Generalized Energy Storage Function for Robust Walking of Biped Robots.Proceedings of the ... American Control Conference. American Control Conference · 2018
    Article
  4. Design and Validation of a Torque Dense, Highly Backdrivable Powered Knee-Ankle Orthosis.IEEE International Conference on Robotics and Automation : ICRA : [proceedings]. IEEE International Conference on Robotics and Automation
    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

2 authors.

Ge LvDepartments of Electrical Engineering and Bioengineering, University of Texas at Dallas, Richardson, TX 75080, USA.
Robert D GreggDepartments of Bioengineering and Mechanical Engineering, University of Texas at Dallas, Richardson, TX 75080, USA.

Funding

PHASE-BASED CONTROL OF LOCOMOTION FOR HIGH-PERFORMANCE PROSTHESES AND ORTHOSESDP2HD080349 · NICHD · UNIVERSITY OF TEXAS DALLAS · PI GREGG, ROBERT D · 2013 to 2013
$2.3M
NICHD NIH HHS DP2 HD080349
6 · The paper itself

Abstract

Current robotic exoskeletons enforce fixed reference joint patterns during gait rehabilitation. These control methods aim to replicate normative joint kinematics but do not facilitate learning patient-specific kinematics. Trajectory-free control methods for exoskeletons are required to promote user control over joint kinematics. Our prior work on potential energy shaping provides virtual body-weight support through a trajectory-free control law, but altering only the gravitational forces does not assist the subject in accelerating/decelerating the body forward. Kinetic energy is velocity dependent and thus shaping the kinetic energy in addition to potential energy can yield greater dynamical changes in closed loop. In this paper, we generalize our previous work to achieve underactuated total energy shaping of the human body through a lower-limb exoskeleton. By shaping the fully-actuated part of the body's mass matrix, we satisfy the matching condition for different contact phases and obtain trajectory-free control laws. Simulations of a human-like biped demonstrate speed regulation in addition to body-weight support, indicating the potential clinical value of this control approach.

Identifiers

PMID29104363
PMCPMC5667924

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Registered trials

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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.