Chen, Gang and Xu, Yidong and Yang, Chenguang and Yang, Xin and Hu, Huosheng and Dong, Fei and Zhang, Jingjing and Shi, Jianwei (2024) Dynamic modeling and experimental analysis of a novel bionic mantis shrimp robot. Journal of Field Robotics. DOI https://doi.org/10.1002/rob.22424
Chen, Gang and Xu, Yidong and Yang, Chenguang and Yang, Xin and Hu, Huosheng and Dong, Fei and Zhang, Jingjing and Shi, Jianwei (2024) Dynamic modeling and experimental analysis of a novel bionic mantis shrimp robot. Journal of Field Robotics. DOI https://doi.org/10.1002/rob.22424
Chen, Gang and Xu, Yidong and Yang, Chenguang and Yang, Xin and Hu, Huosheng and Dong, Fei and Zhang, Jingjing and Shi, Jianwei (2024) Dynamic modeling and experimental analysis of a novel bionic mantis shrimp robot. Journal of Field Robotics. DOI https://doi.org/10.1002/rob.22424
Abstract
Small carnivorous marine animals have developed agile movement abilities through long-term natural selection, resulting in excellent maneuverability and high swimming efficiency, making them ideal models for underwater robots. To meet the requirements for exploring narrow underwater zones, this paper designs an underwater robot inspired by mantis shrimp. By analyzing the body structure and swimming mode of the mantis shrimp, we designed a robot structure and hardware system and established a dynamic model for the coupled motion of multiple pleopods. A series of underwater experiments were conducted to verify the dynamic model and assess the performance of the prototype. The experimental results confirmed the accuracy of the dynamic model and demonstrated that the bionic mantis shrimp robot can perform multiangle turns and flexible velocity adjustments and exhibits good motion performance. This approach provides a novel solution for developing robots suitable for detecting complex underwater environments.
Item Type: | Article |
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Uncontrolled Keywords: | bionic robots, dynamic modeling, mantis shrimp, multipleopod coupled motion, underwater exploration, underwater robots |
Divisions: | Faculty of Science and Health Faculty of Science and Health > Computer Science and Electronic Engineering, School of |
SWORD Depositor: | Unnamed user with email elements@essex.ac.uk |
Depositing User: | Unnamed user with email elements@essex.ac.uk |
Date Deposited: | 16 Sep 2024 19:47 |
Last Modified: | 30 Oct 2024 21:08 |
URI: | http://repository.essex.ac.uk/id/eprint/39200 |