Evidence map›Paper›PMID 42460387›Full record

ArticleFrontiers in robotics and AI2026

Morphology and control roles in perturbed standing recovery: a robotic study.

Yelin Jiang, Marc Murcia, Jitong Yang, Andre Seyfarth, Rolf Findeisen, Maziar A Sharbafi

Abstract read
In one paragraph

Article in Frontiers in robotics and AI, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Yelin JiangCCPS, Department of Electrical Engineering and Information Technology, Technical University of Darmstadt, Darmstadt, Germany.
Marc MurciaLauflabor, Institute of Sports Science, Technical University of Darmstadt, Darmstadt, Germany.
Jitong YangLauflabor, Institute of Sports Science, Technical University of Darmstadt, Darmstadt, Germany.
Andre SeyfarthLauflabor, Institute of Sports Science, Technical University of Darmstadt, Darmstadt, Germany.
Rolf FindeisenCCPS, Department of Electrical Engineering and Information Technology, Technical University of Darmstadt, Darmstadt, Germany.
Maziar A SharbafiCCPS, Department of Electrical Engineering and Information Technology, Technical University of Darmstadt, Darmstadt, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Postural balance is essential for both humans and robots, as failures increase fall risk and limit robotic performance in real-world settings. Although humans and robots share fundamental balancing mechanics, biological complexity limits the isolation of individual muscle functions and direct principle transfer to robots. In this study, we use EPA-Walker, a bio-inspired robot actuated by electric motors and pneumatic artificial muscles (PAMs), as a physical platform to investigate perturbed standing. Here, we focus on the PAM-driven actuation to systematically examine the roles of muscle morphology and control, and to validate biomechanical findings in a robotic setting. To enable a clear upper body perturbation, a Control Moment Gyroscope (CMG) was integrated. We evaluated two stabilization paradigms: passive standing, in which joint compliance was tuned through static PAM pressurization, and active balancing, in which a bio-inspired ground reaction force (GRF) feedback controller generated muscle reflexes. The results showed that biarticular thigh muscles, particularly the hamstrings and rectus femoris, played the most prominent role in enhancing robustness through both morphology in the passive experiments and reflex control in the active experiments, consistent with findings from human perturbation studies. While ankle muscles, such as the soleus, were essential for stable standing mainly through their passive morphological contribution, their reflex-based action could also improve robustness in a more specific manner through center-of-pressure regulation. Activating a single muscle could significantly improve robustness beyond morphology, enabling recovery from

Indexed as

biarticular musclesbipedal robotforce feedback controlpneumatic artificial musclespostural balance

Identifiers

PMID42460387
PMCPMC13368573

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.