Evidence map›Paper›PMID 42041493›Full record

ArticleBiomimetics (Basel, Switzerland)2026

Optimal Design to Improve the Performance of Impact Resistance and Obstacle Surmounting for Legged Robots.

Jiaxu Han, Jingfu Zhao, Yue Zhu, Zhibin Song

Abstract read
In one paragraph

Article in Biomimetics (Basel, Switzerland), 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

4 authors.

Jiaxu HanSchool of Mechanical Engineering, Tianjin University, Tianjin 300350, China.ORCID 0009-0004-4493-0469
Jingfu ZhaoSchool of Mechanical Engineering, Tianjin University, Tianjin 300350, China.
Yue ZhuSchool of Mechanical Engineering, Tianjin University, Tianjin 300350, China.
Zhibin SongSchool of Mechanical Engineering, Tianjin University, Tianjin 300350, China.ORCID 0000-0002-3715-2003

Funding

National Natural Science Foundation of China 51721003National Natural Science Foundation of China 51975401
6 · The paper itself

Abstract

Legged robots are widely used for walking, running, jumping, and landing on the ground. As mission terrains become increasingly complex, legged robots with greater adaptability are required. However, limited research attention has been paid to enhancing their impact resistance and obstacle-surmounting capabilities. Due to the limitations of motor manufacturing and material, it is more difficult to improve the impact resistance of the motor than to design proper leg lengths. Considering rigid multi-link medium- and large-sized legged robots, we optimize leg lengths to minimize the impact torque on leg joints. An optimal leg-length combination that maximizes obstacle-surmounting capability for medium- and large-size multi-link legged robots is conducted. This research provides a concrete design basis for leg-length optimization in medium- and large-sized multi-link legged robots with the aim of improving impact resistance and obstacle surmounting.

Indexed as

impact resistancelegged robotsobstacle surmountingoptimal design

Identifiers

PMID42041493
PMCPMC13113630

What OpenQuestion holds

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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.