Evidence map›Paper›PMID 37790804›Full record

ArticleProceedings of the ... American Control Conference. American Control Conference2023

Optimal Energy Shaping Control for a Backdrivable Hip Exoskeleton.

Jiefu Zhang, Jianping Lin, Vamsi Peddinti, Robert D Gregg

Abstract read
In one paragraph

Article in Proceedings of the ... American Control Conference. American Control Conference, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. A Task-Agnostic Hip Exoskeleton for Osteoarthritis Pain Relief: Energetic Control Across Activities of Daily Life.IEEE ... International Conference on Rehabilitation Robotics : [proceedings] · 2025
    Article
  3. A Modular Framework for Task-Agnostic, Energy Shaping Control of Lower Limb Exoskeletons.IEEE transactions on control systems technology : a publication of the IEEE Control Systems Society · 2024
    Article
  4. Article
  5. Optimal Energy Shaping Control for a Backdrivable Hip Exoskeleton.Proceedings of the ... American Control Conference. American Control Conference · 2023
    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.

Jiefu ZhangElectrical Engineering and Computer Science, University of Michigan, Ann Arbor, MI 48109, USA.
Jianping LinElectrical Engineering and Computer Science, University of Michigan, Ann Arbor, MI 48109, USA.
Vamsi PeddintiRobotics, University of Michigan, Ann Arbor, MI 48109, USA.
Robert D GreggRobotics, University of Michigan, Ann Arbor, MI 48109, USA.

Funding

Understanding Personalized Control with Modular Powered OrthosesR01EB031166 · NIBIB · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Robert D Gregg · 2021 to 2026
$2.5M
NIBIB NIH HHS R01 EB031166
6 · The paper itself

Abstract

Task-dependent controllers widely used in exoskeletons track predefined trajectories, which overly constrain the volitional motion of individuals with remnant voluntary mobility. Energy shaping, on the other hand, provides task-invariant assistance by altering the human body's dynamic characteristics in the closed loop. While human-exoskeleton systems are often modeled using Euler-Lagrange equations, in our previous work we modeled the system as a port-controlled-Hamiltonian system, and a task-invariant controller was designed for a knee-ankle exoskeleton using interconnection-damping assignment passivity-based control. In this paper, we extend this framework to design a controller for a backdrivable hip exoskeleton to assist multiple tasks. A set of basis functions that contains information of kinematics is selected and corresponding coefficients are optimized, which allows the controller to provide torque that fits normative human torque for different activities of daily life. Human-subject experiments with two able-bodied subjects demonstrated the controller's capability to reduce muscle effort across different tasks.

Identifiers

PMID37790804
PMCPMC10544752

What OpenQuestion holds

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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.