Evidence map›Paper›PMID 39537888›Full record

ArticleNature2024

Task-agnostic exoskeleton control via biological joint moment estimation.

Dean D Molinaro, Keaton L Scherpereel, Ethan B Schonhaut, Georgios Evangelopoulos, Max K Shepherd, Aaron J Young

Abstract read
PubMed Publisher
In one paragraph

Article in Nature, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing 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

31 citing papers in PubMed.

  1. Volitional control of wearable robots.Nature communications · 2026
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  12. Review
  13. Gait Event Detection From Thigh Segment Kinematics in Children With Crouch Gait.IEEE journal of translational engineering in health and medicine · 2026
    Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Versatile Exoskeleton Control Supports Elderly Joint Energetics During Hip-Intensive Tasks.IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society · 2026
    Article
  19. Optimal Energy Shaping and Force Amplification Framework for Task-Agnostic, Biomimetic Ankle Exoskeletons.IEEE transactions on robotics : a publication of the IEEE Robotics and Automation Society · 2026
    Article
  20. 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

6 authors.

Dean D Molinaro *George W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, GA, USA. molinarodean@gmail.com.ORCID 0000-0001-9725-854X
Keaton L Scherpereel *George W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, GA, USA.ORCID 0000-0001-9496-8079
Ethan B SchonhautGeorge W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, GA, USA.ORCID 0000-0002-7608-9692
Georgios EvangelopoulosX, The Moonshot Factory, Mountain View, CA, USA.ORCID 0000-0003-2240-1801
Max K ShepherdCollege of Engineering, Bouvé College of Health Sciences, and Institute for Experiential Robotics, Northeastern University, Boston, MA, USA.ORCID 0000-0001-6066-9222
Aaron J YoungGeorge W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, GA, USA.ORCID 0000-0002-5376-2258

Funding

Nation Science Foundation NRIX, The Moonshot Factory
6 · The paper itself

Abstract

Lower-limb exoskeletons have the potential to transform the way we move

Indexed as

Biomechanical PhenomenaDeep LearningExoskeleton DeviceLower ExtremityNeural Networks, ComputerAdultEnergy MetabolismFemaleHip JointHumansKnee JointLocomotionMaleRunningTorqueWalking

Identifiers

What OpenQuestion holds

Textmetadata
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.