Evidence map›Paper›PMID 34646867›Full record

ArticleFrontiers in robotics and AI2021

Formulating and Deploying Strength Amplification Controllers for Lower-Body Walking Exoskeletons.

Gray C Thomas, Orion Campbell, Nick Nichols, Nicolas Brissonneau, Binghan He, Joshua James, Nicholas Paine, Luis Sentis

Abstract read
In one paragraph

Article in Frontiers in robotics and AI, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. 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
  2. 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.

Gray C ThomasDepartment of Electrical Engineering and Computer Science, The University of Michigan, Ann Arbor, MI, United States.
Orion CampbellApptronik Inc., Austin, TX, United States.
Nick NicholsApptronik Inc., Austin, TX, United States.
Nicolas BrissonneauThe Human Centered Robotics Lab, The University of Texas at Austin, Austin, TX, United States.
Binghan HeThe Human Centered Robotics Lab, The University of Texas at Austin, Austin, TX, United States.
Joshua JamesApptronik Inc., Austin, TX, United States.
Nicholas PaineApptronik Inc., Austin, TX, United States.
Luis SentisThe Human Centered Robotics Lab, The University of Texas at Austin, Austin, TX, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Augmenting the physical strength of a human operator during unpredictable human-directed (volitional) movements is a relevant capability for several proposed exoskeleton applications, including mobility augmentation, manual material handling, and tool operation. Unlike controllers and augmentation systems designed for repetitive tasks (e.g., walking), we approach physical strength augmentation by a task-agnostic method of force amplification-using force/torque sensors at the human-machine interface to estimate the human task force, and then amplifying it with the exoskeleton. We deploy an amplification controller that is integrated into a complete whole-body control framework for controlling exoskeletons that includes human-led foot transitions, inequality constraints, and a computationally efficient prioritization. A powered lower-body exoskeleton is used to demonstrate behavior of the control framework in a lab environment. This exoskeleton can assist the operator in lifting an unknown backpack payload while remaining fully backdrivable.

Indexed as

exoskeletal assist systemforce feedbacklegged locomotion controlstrength amplificationwhole body control

Identifiers

PMID34646867
PMCPMC8502972

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.