Structure design and coordinated motion analysis of bionic crocodile robot

Jun Wang , Jingya Zheng , Yuhang Zhao , Kai Yang

Biomimetic Intelligence and Robotics ›› 2024, Vol. 4 ›› Issue (2) : 100157 -100157.

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Biomimetic Intelligence and Robotics ›› 2024, Vol. 4 ›› Issue (2) : 100157 -100157. DOI: 10.1016/j.birob.2024.100157
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Structure design and coordinated motion analysis of bionic crocodile robot

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Abstract

Crocodiles, one of the oldest and most resilient species on Earth, have demonstrated remarkable locomotor abilities both on land and in water, evolving over millennia to adapt to diverse environments. In this study, we draw inspiration from crocodiles and design a highly biomimetic crocodile robot equipped with multiple degrees of freedom and articulated trunk joints. This design is based on comprehensive analysis of the structural and motion characteristics of real crocodiles. The bionic crocodile robot has a problem of limb-torso incoordination during movement. To solve this problem, we used the D-H method for both forward and inverse kinematics analysis of the robot’s legs and spine. Through a series of simulation experiments, we investigated the robot’s motion stability, fault tolerance, and adaptability to environments in two motor patterns: with and without spine and tail movements. The experimental results show that the bionic crocodile robot exhibits superior motion performance when the spine and tail cooperate with the extremities. This study not only demonstrates the potential of biomimicry in robotics but also underscores the significance of understanding how nature’s designs can inform and enhance technological innovations.

Keywords

Bionic crocodile robot / Kinematic modeling / Motion simulation / Multipart coordination

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Jun Wang, Jingya Zheng, Yuhang Zhao, Kai Yang. Structure design and coordinated motion analysis of bionic crocodile robot. Biomimetic Intelligence and Robotics, 2024, 4(2): 100157-100157 DOI:10.1016/j.birob.2024.100157

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Declaration of competing interest

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Acknowledgment

This work was supported by the Graduate Reaearch and Innovation Projects of Jiangsu Province (KYCX21_2251).

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