Hydrodynamic surrogate models for bio-inspired micro-swimming robots
Ahmet Fatih Tabak, Serhat Yesilyurt

TL;DR
This paper develops and validates hydrodynamic surrogate models for bio-inspired micro-swimming robots, using interaction coefficients derived from CFD simulations to improve the accuracy of resistive force theory-based models.
Contribution
It introduces interaction coefficients that enhance RFT models for micro-swimmers, validated against CFD simulations and experimental data.
Findings
Interaction coefficients improve RFT model accuracy.
Surrogate models closely match CFD simulation results.
Models are viable for real-time control and design optimization.
Abstract
Research on untethered micro-swimming robots is growing fast owing to their potential impact on minimally invasive medical procedures. Candidate propulsion mechanisms of robots are based on flagellar mechanisms of microorganisms such as rotating rigid helices and traveling plane-waves on flexible rods and parameterized by wavelength, amplitude, and frequency. For design and control of swimming robots, accurate real-time models are necessary to compute trajectories, velocities and hydrodynamic forces acting on robots. Resistive force theory (RFT) provides an excellent framework for the development of real-time six degrees-of-freedom surrogate models for design optimization and control. However, the accuracy of RFT-based models depends strongly on hydrodynamic interactions. Here, we introduce interaction coefficients that only multiply body resistance coefficients with no modification to…
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Taxonomy
TopicsMicro and Nano Robotics · Modular Robots and Swarm Intelligence · Underwater Vehicles and Communication Systems
