Modeling and Control of an Eel-Inspired Soft Robot for Design Optimization

πŸ“… 2026-08-14
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πŸ€– AI Summary
This study addresses the challenges in design optimization, modeling, and control of eel-like soft robots by proposing a coupled elastic rod finite element–fluid dynamics model that accommodates time-varying material properties, alongside a model-based control strategy. The research elucidates the mechanism by which micro-asymmetric configurations significantly enhance maneuverability while sustaining high swimming speeds, with experimental validation confirming control effectiveness. These findings demonstrate that micro-asymmetric designs effectively balance velocity and agility, providing a theoretical foundation and methodological framework for the robust design and high-performance control of soft underwater robots.
πŸ“ 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.
Problem

Research questions and friction points this paper is trying to address.

Eel-inspired soft robot
Design optimization
Anguilliform locomotion
Simulation modeling
Control systems
Innovation

Methods, ideas, or system contributions that make the work stand out.

Eel-inspired soft robot
Finite Element Method
Hydrodynamic coupling
Design optimization
Asymmetric design
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Z
Zhangjingyi Jiang
Department of Mechanical and Aerospace Engineering, Cornell University
Mark Campbell
Mark Campbell
John A. Mellowes β€˜60 Professor, Cornell University
Autonomy: EstimationControlAerospaceRoboticsSpace Systems