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ORIGINAL RESEARCH article

Front. Vet. Sci.
Sec. Animal Behavior and Welfare
Volume 11 - 2024 | doi: 10.3389/fvets.2024.1423453
This article is part of the Research Topic Artificial Intelligence in Animal Behaviour, Veterinary Behaviour and Neurology View all 8 articles

Research on Motion Characterization of Goose Neck in Narrow Space

Provisionally accepted
Fu Zhang Fu Zhang 1Haoxuan Sun Haoxuan Sun 1Jiajia Wang Jiajia Wang 2*Xinyue Wang Xinyue Wang 1Yubo Qiu Yubo Qiu 1Xiahua Cui Xiahua Cui 3Shaukat Ali Shaukat Ali 4
  • 1 Henan University of Science and Technology, Luoyang, China
  • 2 Jilin Agriculture University, Changchun, Jilin Province, China
  • 3 Jilin University, Changchun, Hebei Province, China
  • 4 University of Wah, Wah Cantonment, Punjab, Pakistan

The final, formatted version of the article will be published soon.

    Inspired by the obstacle avoidance mechanism of goose neck, a theoretical design method of bionic robotic arm was proposed to solve the contradiction between high flexibility and strong bearing capacity in narrow space. Taking the goose neck as the test object, a narrow space test environment with a width of 10 cm was built, and a 6×4 obstacle matrix was set up, to analyze the maximum value of joint angle, motion rate and trajectory in different target areas. The test results showed that the goose neck movement has continuity and transmissibility. The overall posture of the goose neck was adjusted through the synergistic movement of the anterior, middle and posterior segments to move towards the target position. The regulating effect of the anterior segment was significantly stronger than that of the middle and posterior segments. Specifically, the anterior segment of goose neck exhibited mostly transverse movement, with significant horizontal regulation; the middle segment of the goose neck was coupled with longitudinal movement, with similar movement ability in all directions, the posterior segment of the goose neck has mostly longitudinal movement, with significant height regulation. In addition, the YOLOv7-pose recognition network was used to recognize goose neck motion pose, which provides a new method for animal behavior research.

    Keywords: Bionics, Goose neck, Narrow space, Motion trajectory, joint angle

    Received: 25 Apr 2024; Accepted: 23 Oct 2024.

    Copyright: © 2024 Zhang, Sun, Wang, Wang, Qiu, Cui and Ali. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence: Jiajia Wang, Jilin Agriculture University, Changchun, 130118, Jilin Province, China

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