Theoretical Modeling and Bio-inspired Trajectory Optimization of A Multiple-locomotion Origami Robot

Fuente: arXiv
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Main Authors: Zhu, Keqi, Guo, Haotian, Yu, Wei, Nigatu, Hassen, Li, Tong, Dong, Huixu
Format: Preprint
Published: 2024
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_version_ 1866916166070435840
author Zhu, Keqi
Guo, Haotian
Yu, Wei
Nigatu, Hassen
Li, Tong
Dong, Huixu
author_facet Zhu, Keqi
Guo, Haotian
Yu, Wei
Nigatu, Hassen
Li, Tong
Dong, Huixu
contents Recent research on mobile robots has focused on increasing their adaptability to unpredictable and unstructured environments using soft materials and structures. However, the determination of key design parameters and control over these compliant robots are predominantly iterated through experiments, lacking a solid theoretical foundation. To improve their efficiency, this paper aims to provide mathematics modeling over two locomotion, crawling and swimming. Specifically, a dynamic model is first devised to reveal the influence of the contact surfaces' frictional coefficients on displacements in different motion phases. Besides, a swimming kinematics model is provided using coordinate transformation, based on which, we further develop an algorithm that systematically plans human-like swimming gaits, with maximum thrust obtained. The proposed algorithm is highly generalizable and has the potential to be applied in other soft robots with multiple joints. Simulation experiments have been conducted to illustrate the effectiveness of the proposed modeling.
format Preprint
id arxiv_https___arxiv_org_abs_2403_12471
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Theoretical Modeling and Bio-inspired Trajectory Optimization of A Multiple-locomotion Origami Robot
Zhu, Keqi
Guo, Haotian
Yu, Wei
Nigatu, Hassen
Li, Tong
Dong, Huixu
Robotics
Recent research on mobile robots has focused on increasing their adaptability to unpredictable and unstructured environments using soft materials and structures. However, the determination of key design parameters and control over these compliant robots are predominantly iterated through experiments, lacking a solid theoretical foundation. To improve their efficiency, this paper aims to provide mathematics modeling over two locomotion, crawling and swimming. Specifically, a dynamic model is first devised to reveal the influence of the contact surfaces' frictional coefficients on displacements in different motion phases. Besides, a swimming kinematics model is provided using coordinate transformation, based on which, we further develop an algorithm that systematically plans human-like swimming gaits, with maximum thrust obtained. The proposed algorithm is highly generalizable and has the potential to be applied in other soft robots with multiple joints. Simulation experiments have been conducted to illustrate the effectiveness of the proposed modeling.
title Theoretical Modeling and Bio-inspired Trajectory Optimization of A Multiple-locomotion Origami Robot
topic Robotics
url https://arxiv.org/abs/2403.12471