Evidence map›Paper›PMID 42029938›Full record

ReviewChemical reviews2026

Soft Robots Powered by Sustainable Energy.

Stefano Mariani, Ruowen Tu, Kliton Cikalleshi, Luca Cecchini, Fabian Meder, Laura Margheri, Barbara Mazzolai

Abstract readReview
In one paragraph

Review in Chemical reviews, 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

7 authors.

Stefano MarianiBioinspired Soft Robotics Laboratory, Istituto Italiano di Tecnologia, Via Morego 30, Genova 16163, Italy.ORCID 0000-0002-8483-7005
Ruowen TuBioinspired Soft Robotics Laboratory, Istituto Italiano di Tecnologia, Via Morego 30, Genova 16163, Italy.ORCID 0000-0003-2681-8030
Kliton CikalleshiBioinspired Soft Robotics Laboratory, Istituto Italiano di Tecnologia, Via Morego 30, Genova 16163, Italy.
Luca CecchiniBioinspired Soft Robotics Laboratory, Istituto Italiano di Tecnologia, Via Morego 30, Genova 16163, Italy.
Fabian MederBioinspired Soft Robotics Laboratory, Istituto Italiano di Tecnologia, Via Morego 30, Genova 16163, Italy.
Laura MargheriBioinspired Soft Robotics Laboratory, Istituto Italiano di Tecnologia, Via Morego 30, Genova 16163, Italy.
Barbara MazzolaiBioinspired Soft Robotics Laboratory, Istituto Italiano di Tecnologia, Via Morego 30, Genova 16163, Italy.ORCID 0000-0003-0722-8350

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Soft robots powered by sustainable energy abundantly available on Earth, such as heat, humidity, sunlight, osmotic potential, pH variation, triboelectricity, and wind, represent a promising shift toward eco-friendly and autonomous robotic systems. Efficiency depends on selecting and engineering responsive materials that directly transform environmental stimuli into mechanical actuation and motion, or harvest and store environmental energy to power actuators. Thermo-responsive materials undergo shape changes with temperature variations, while hygroscopic materials leverage moisture adsorption to induce actuation. Photothermal materials convert sunlight into heat and can combine thermal or hygroscopic actuators for controlled deformation. Osmotic processes drive movement through fluidic interactions, whereas pH-sensitive hydrogels respond to chemical gradients, facilitating controlled motion. Triboelectric materials generate electricity via contact-induced charge transfer, enabling self-powered sensing and actuation, while wind-dispersed structures exploit aerodynamic forces for unique movements. This review explores the critical roles of chemical, physical, mechanical, and environmental properties of materials in designing soft robots for sustainable and autonomous operation. Importantly, the review distinguishes between the broad concept of environmental energy and operation that is energetically sustainable. It systematically evaluates reported actuators and soft robotic systems based on whether their required energy sources and operating conditions are naturally occurring and regenerable, or instead depend on restricted environmental ranges, auxiliary inputs, or laboratory-controlled conditions. By examining material behavior, integration into multifunctional composites, and mechanism design for exploiting sustainable energy, this review identifies both established and emerging pathways toward environmentally realistic, autonomous, and long-lived soft robotic systems, with potential applications in environmental monitoring, reforestation, and other robotic domains.

Identifiers

PMID42029938
PMCPMC13178080

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.