Evidence map›Paper›PMID 41452672›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2026

Feline-Inspired Robot Enabled by Combustion-Driven Actuators for Agile Motion and High-Payload Obstacle Traversal.

Hongkuan Ma, Yang Yang, Zhiguo He, Hongliang Ren, Pengcheng Jiao

Abstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 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

5 authors.

Hongkuan MaState Key Laboratory of Ocean Sensing & Ocean College, Zhejiang University, Zhoushan, Zhejiang, China.ORCID https://orcid.org/0009-0002-2589-7136
Yang YangDepartment of Electronic Engineering, Faculty of Engineering, The Chinese University of Hong Kong, Hong Kong, China.
Zhiguo HeState Key Laboratory of Ocean Sensing & Ocean College, Zhejiang University, Zhoushan, Zhejiang, China.ORCID https://orcid.org/0000-0002-0612-9062
Hongliang RenDepartment of Electronic Engineering, Faculty of Engineering, The Chinese University of Hong Kong, Hong Kong, China.
Pengcheng JiaoState Key Laboratory of Ocean Sensing & Ocean College, Zhejiang University, Zhoushan, Zhejiang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In nature, many animals and skilled humans perform rapid, high-force maneuvers such as strikes, leaps, or escape responses, through instantaneous energy release. Replicating this synergy of speed, power, and precision in soft robots has remained an unsolved challenge. Here we introduce a combustion-driven soft actuator with an embedded backbone that, using a transient driving method, delivers millisecond-scale response, force outputs up to 70 times its self-weight, and control precision within 5%. This capability supports both static tasks (e.g., precision throwing), and dynamic actions (e.g., intercepting moving targets). Leveraging this actuator, we developed a feline-inspired robot that accelerates to eight body lengths per second and transitions to flight within 0.1 s, creating a multi-modal "Jump-and-Fly Catbot" (JFC) capable of jumping, flying, and hovering. JFC navigates unstructured terrains and demonstrates robust escape capabilities, including freeing itself from bed entrapment, avoiding obstructing branches, and evading net capture, with response within 0.5 s, that surpass current soft robotic systems. These results establish a new paradigm for soft robots, integrating high-force interaction, precision control, and versatile locomotion for robust operation in complex environments.

Indexed as

RoboticsAnimalsCatsEquipment DesignMotionbionic robotcombustion‐driven soft actuatorhigh‐force environmental interactionversatile locomotion

Identifiers

PMID41452672
PMCPMC13042569

What OpenQuestion holds

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Registered trials

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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.