Evidence map›Paper›PMID 38248598›Full record

ArticleBiomimetics (Basel, Switzerland)2024

Running Gait and Control of Quadruped Robot Based on SLIP Model.

Xiaolong He, Xinjie Li, Xiangji Wang, Fantuo Meng, Xikang Guan, Zhenyu Jiang, Lipeng Yuan, Kaixian Ba, Guoliang Ma, Bin Yu

Abstract read
In one paragraph

Article in Biomimetics (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

10 authors.

Xiaolong HeSchool of Mechanical Engineering, Yanshan University, Qinhuangdao 066004, China.
Xinjie LiSchool of Mechanical Engineering, Yanshan University, Qinhuangdao 066004, China.
Xiangji WangSchool of Mechanical Engineering, Yanshan University, Qinhuangdao 066004, China.
Fantuo MengSchool of Mechanical Engineering, Yanshan University, Qinhuangdao 066004, China.
Xikang GuanSchool of Mechanical Engineering, Yanshan University, Qinhuangdao 066004, China.
Zhenyu JiangSchool of Mechanical Engineering, Yanshan University, Qinhuangdao 066004, China.
Lipeng YuanSchool of Mechatronics Engineering, Harbin Institute of Technology, Harbin 150001, China.
Kaixian BaSchool of Mechanical Engineering, Yanshan University, Qinhuangdao 066004, China.
Guoliang MaSchool of Mechanical Engineering, Yanshan University, Qinhuangdao 066004, China.
Bin YuSchool of Mechanical Engineering, Yanshan University, Qinhuangdao 066004, China.

Funding

National Excellent Natural Science Foundation of China 52122503Outstanding Youth Fund of Hebei Natural Science Foundation E2022203002Science and Technology project of Hebei Education Department BJK2022060
6 · The paper itself

Abstract

Legged robots have shown great adaptability to various environments. However, conventional walking gaits are insufficient to meet the motion requirements of robots. Therefore, achieving high-speed running for legged robots has become a significant research topic. In this paper, based on the Spring-Loaded Inverted Pendulum (SLIP) model and the optimized Double leg-Spring-Loaded Inverted Pendulum (D-SLIP) model, the running control strategies for the double flying phase Bound gait and the Rotatory gallop gait of quadruped robots are designed. First, the dynamics of the double flying phase Bound gait and Rotatory gallop gait are analyzed. Then, based on the "three-way" control idea of the SLIP model, the running control strategy for the double flying phase Bound gait is designed. Subsequently, the SLIP model is optimized to derive the D-SLIP model with two touchdown legs, and its dynamic characteristics are analyzed. And the D-SLIP model is applied to the running control strategy of the Rotatory gallop gait. Furthermore, joint simulation verification is conducted using Adams virtual prototyping and MATLAB/Simulink control systems for the designed control strategies. Finally, experimental verification is performed for the double flying phase Bound gait running control strategy. The experimental results demonstrate that the quadruped robot can achieve high-speed and stable running.

Indexed as

high-speed runninglegged robotrunning gaitSLIP model

Identifiers

PMID38248598
PMCPMC11154250

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LicenceCC BY
Read underepoch 390

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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.