Evidence map›Paper›PMID 31708764›Full record

ArticleFrontiers in neurorobotics2019

Hybrid Inspired Research on the Flying-Jumping Locomotion of Locusts Using Robot Counterpart.

Dunwen Wei, Tao Gao, Zhaoxin Li, Xiaojuan Mo, Shuqin Zheng, Cong Zhou

Abstract read
In one paragraph

Article in Frontiers in neurorobotics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Dunwen WeiSchool of Mechanical and Electrical Engineering, University of Electronic Science and Technology of China, Chengdu, China.
Tao GaoSchool of Mechanical and Electrical Engineering, University of Electronic Science and Technology of China, Chengdu, China.
Zhaoxin LiSchool of Mechanical and Electrical Engineering, University of Electronic Science and Technology of China, Chengdu, China.
Xiaojuan MoSchool of Mechanical Engineering, Northwestern Polytechnical University, Xi'an, China.
Shuqin ZhengSchool of Mechanical and Electrical Engineering, University of Electronic Science and Technology of China, Chengdu, China.
Cong ZhouSchool of Mechanical and Electrical Engineering, University of Electronic Science and Technology of China, Chengdu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Locusts are a kind of agile insects that can move and maneuver so efficiently in the unstructured terrain and complex environment. This marvel survivability of locusts benefits from their flying-jumping multi-modal locomotion. But until recently, the main influences of the locomotion performance are still a controversial and unknown issue. In this paper, the idea of hybrid inspired method that combines biologically inspired robot with robot inspired biology was proposed to explore the principle of flying-jumping locomotion of locusts. Firstly, we analyzed the influence of leg burrs and flapping wings on the jumping performance by the biological experiments. Nevertheless, individual heterogeneity and uncontrollability of locusts result in the unconvincing results of biological experiments. Therefore, according to the thought of robotics-inspired biology, we proposed and built a locust-inspired robot with flying-jumping locomotion via the principle of metamorphic mechanism based on the biological-inspired robot. Lastly, the preliminary robotic experiments were carried out to validate our thought that the flapping wings and leg burrs of locust have a great influence on the jumping performance. This robotics-inspired biology method remedied the shortcomings of biological experiments through the consistency and controllability of the robot experiments. Meanwhile, through the hybrid inspired research, the results show both the leg burrs and flapping wings can help the locust jump longer and improve the stability by adjusting the landing attitude to some extent, while the biological experiments dedicate that the locust with leg burrs and wings have the self-stability ability.

Indexed as

bioinspired robotsflying-jumping locomotionhybrid inspirationlocustmulti-modal locomotionrobotics-inspired biology

Identifiers

PMID31708764
PMCPMC6819516

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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.