Evidence map›Paper›PMID 41650225›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2026

A method to study and enhance the energy efficiency of soft electrostatic actuators.

Steven L Zhang, Toshihiko Fukushima, Sophie Kirkman, Soo Jin Adrian Koh, Philipp Rothemund, Christoph Keplinger

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2026. 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. Maximizing the Energy Output of Soft Electrohydraulic Generators.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    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

6 authors.

Steven L ZhangRobotic Materials Department, Max Planck Institute for Intelligent Systems, Stuttgart 70569, Germany.
Toshihiko FukushimaRobotic Materials Department, Max Planck Institute for Intelligent Systems, Stuttgart 70569, Germany.ORCID 0000-0001-7203-9527
Sophie KirkmanRobotic Materials Department, Max Planck Institute for Intelligent Systems, Stuttgart 70569, Germany.ORCID 0000-0002-2651-5024
Soo Jin Adrian KohRobotic Materials Department, Max Planck Institute for Intelligent Systems, Stuttgart 70569, Germany.ORCID 0000-0003-2473-0991
Philipp RothemundRobotic Materials Department, Max Planck Institute for Intelligent Systems, Stuttgart 70569, Germany.ORCID 0000-0002-0588-6993
Christoph KeplingerRobotic Materials Department, Max Planck Institute for Intelligent Systems, Stuttgart 70569, Germany.ORCID 0000-0001-9151-4100

Funding

International Max Planck Research School for Intelligent SystemsMax Planck Society
6 · The paper itself

Abstract

Actuators drive robotic motion, and their energy conversion efficiency is a key performance metric that informs power consumption. Soft electrostatic actuators promise new opportunities for bioinspired and wearable robotics, being driven by electrical signals and producing high-speed, muscle-like motion. Unlike electromagnetic motors, for which efficiency has been systematically studied, efficiency of soft actuators lacks a standardized definition and measurement method, highlighting the need for a unified framework for the evaluation of their efficiency. Here, we propose a comprehensive method to study electrical-to-mechanical energy conversion in soft electrostatic actuators by analyzing closed cycles on planes spanned by work-conjugate variables: voltage-charge and force-position; our experimental setup allows us to prescribe and measure in real-time all work-conjugate variables and thus, to evaluate efficiency as function of load, electric potential, frequency, and actuator materials. We introduce a practical work cycle to evaluate actuators, and, using Peano-HASEL (Hydraulically Amplified Self-healing ELectrostatic) actuators as a model system, we reveal that efficiency is highly dependent on applied voltage, force, and actuation frequency; within the tested range of parameters, we measure a maximum efficiency of 63.6%, which is more than three times the previously reported value for HASEL actuators. We further study energy losses inherent in mechanical and electrical cycles. We show the general applicability of our method across different electrostatic actuators by applying it to a pure-shear dielectric elastomer actuator (DEA), demonstrating efficiencies up to 62.9%. This comprehensive method will facilitate the study and development of electrostatic actuators for the next generation of highly efficient soft robots.

Indexed as

actuatorselectrostatic transducersenergy efficiencyHASEL actuatorssoft robotics

Identifiers

PMID41650225
PMCPMC12890970

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.