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This paper focuses on developing simulation models and control systems for soft, eel-inspired robots using Finite Element Method (FEM) rather than addressing AI algorithms or quantum phenomena directly. The core contributions lie in hydrodynamic modeling, material property analysis, and mechanical design optimization within the field of robotics. Consequently, this article does not meet TechPulse's primary subject criteria centered on artificial intelligence or quantum technology. Others
Source coveringarXiv
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Modeling and Control of an Eel-Inspired Soft Robot for Design Optimization

arXiv2 min read

arXiv:2608.14860v1 Announce Type: new Abstract: Anguilliform locomotion is a highly efficient swimming mode; the advent of new materials for soft robots enables the development of an eel-inspired soft robot. This paper presents a simulation model of an eel-inspired soft robot designed for anguilliform swimming. This model can aid in design optimization and the development of model-based estimation, reasoning, and control systems. A Finite Element Method (FEM) model of an elastic rod is used to capture the soft materials of the robotic fish, which makes it particularly amenable to variation over time as the material properties change. The material model is coupled with a hydrodynamic force model to simulate the behavior of a soft, elongated robot in water. The model is used to demonstrate the effectiveness of the proposed control approaches in achieving desired swimming behaviors. It also provides insights into design decisions, including the robustness of different system configurations and the impact of material degradation and failure. The results show that slightly asymmetric designs are advantageous, offering comparable swimming velocities but greater maneuverability. This model can be used to guide future robotic design decisions aimed at optimizing performance for specific tasks.

Abstract:Anguilliform locomotion is a highly efficient swimming mode; the advent of new materials for soft robots enables the development of an eel-inspired soft robot. This paper presents a simulation model of an eel-inspired soft robot designed for anguilliform swimming. This model can aid in design optimization and the development of model-based estimation, reasoning, and control systems. A Finite Element Method (FEM) model of an elastic rod is used to capture the soft materials of the robotic fish, which makes it particularly amenable to variation over time as the material properties change. The material model is coupled with a hydrodynamic force model to simulate the behavior of a soft, elongated robot in water. The model is used to demonstrate the effectiveness of the proposed control approaches in achieving desired swimming behaviors. It also provides insights into design decisions, including the robustness of different system configurations and the impact of material degradation and failure. The results show that slightly asymmetric designs are advantageous, offering comparable swimming velocities but greater maneuverability. This model can be used to guide future robotic design decisions aimed at optimizing performance for specific tasks.

Robotics (cs.RO)

arXiv:2608.14860 [cs.RO]

(or arXiv:2608.14860v1 [cs.RO] for this version)

https://doi.org/10.48550/arXiv.2608.14860 Focus to learn more arXiv-issued DOI via DataCite (pending registration)

https://doi.org/10.1109/CASE59546.2024.10711519 Focus to learn more DOI(s) linking to related resources

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Full text under the publisher's open licence · 289 words

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