Evidence map›Paper›PMID 41127264›Full record

ArticleResearch (Washington, D.C.)2025

Locust-Derived Biohybrid Muscle Actuators for Low-Power Explosive Jumping.

Peng Liu, Yao Li, Songsong Ma, Yunhao Si, Bing Li

Abstract read
In one paragraph

Article in Research (Washington, D.C.), 2025. 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

5 authors.

Peng LiuSchool of Robotics and Advanced Manufacture, Harbin Institute of Technology, Shenzhen 518055, China.ORCID https://orcid.org/0009-0004-2904-2025
Yao LiSchool of Robotics and Advanced Manufacture, Harbin Institute of Technology, Shenzhen 518055, China.ORCID https://orcid.org/0000-0003-3656-5858
Songsong MaSchool of Mechanical and Electrical Engineering, the Shenzhen Polytechnic University, Shenzhen 518055, China.
Yunhao SiSchool of Robotics and Advanced Manufacture, Harbin Institute of Technology, Shenzhen 518055, China.
Bing LiSchool of Robotics and Advanced Manufacture, Harbin Institute of Technology, Shenzhen 518055, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A critical challenge for jumping microrobots is achieving a compact actuator with a high energy output as traditional elastic actuators are inherently bulky. The integration of biological materials with artificial systems to realize biohybrid muscle actuators is a promising approach. However, previous attempts utilizing the entire organism have been hampered by the unpredictability of the native nervous system, and actuators integrating cultivated or extracted muscle tissues have so far been unable to achieve a sufficiently explosive output capacity for jumping. Here, discarded locust hindlegs are repurposed into explosive biohybrid muscle actuators that are synergistically integrated with an artificial robotic system. The resulting biohybrid locust is only 2 g in weight and is precisely controlled through electrical stimulation to achieve dynamic leaps of up to 18 times its body length and 7 times its body height, which outperforms most synthetic counterparts. The design exhibits 2 key functional advances: on the one hand, the actuator requires an ultralow-power input of only 0.03 mW via the optimization of stimulation protocols; on the other hand, the actuator rapidly releases kinetic energy, enabling the artificial robotic system to perform long-distance jumps. This paper presents an experimental validation and biomechanical analysis on the biohybrid locust to demonstrate how our strategy unlocks sustainable and high-performance actuation for microrobots. This work pioneers a roadmap for the next generation of biohybrid robots that merge ecological sustainability with engineering excellence.

Identifiers

PMID41127264
PMCPMC12538119

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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.