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Related papers: Hydrodynamic surrogate models for bio-inspired mic…

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Hydrodynamic interactions play a key role in the swimming behavior and power consumption of bio-inspired and bio-mimetic micro-swimmers, Cybernetic or artificial alike. As micro-robotic devices, bio-inspired micro-swimmers require fast and…

Fluid Dynamics · Physics 2018-09-05 Ahmet Fatih Tabak

In this work we developed a mathematical model and a simulation platform for a fish-inspired robotic template, namely Magnetic, Modular, Undulatory Robotics ($\mu$Bots). Through this platform, we systematically explored the effects of…

Robotics · Computer Science 2021-11-11 Donghao Li , Hankun Deng , Yagiz E. Bayiz , Bo Cheng

The hydrodynamic forces on a slender rod in a fluid medium at low Reynolds number can be modeled using resistive force theories (RFTs) or slender body theories (SBTs). The former represent the forces by local drag coefficients and are…

Fluid Dynamics · Physics 2023-09-14 Sangmin Lim , Charbel Habchi , Mohammad Khalid Jawed

Fish-inspired aquatic robots are gaining increasing attention in marine robot communities due to their high swimming speeds and efficient propulsion enabled by flexible bodies that generate undulatory motions. To support the design…

Robotics · Computer Science 2025-11-07 Zhiheng Chen , Wei Wang

Wearable and legged robot designers face multiple challenges when choosing actuation. Traditional fully actuated designs using electric motors are multifunctional but oversized and inefficient for bearing conservative loads and for being…

Robotics · Computer Science 2025-11-17 Jeff Denis , Frederic Laberge , Jean-Sebastien Plante , Alexandre Girard

Multi-flagellated bacteria utilize the hydrodynamic interaction between their filamentary tails, known as flagella, to swim and change their swimming direction in low Reynolds number flow. This interaction, referred to as bundling and…

Robotics · Computer Science 2023-07-04 Zhuonan Hao , Sangmin Lim , M. Khalid Jawed

In the application of underwater creature study, comparing with propeller-powered ROVs and servo motor actuated robotic fish, novel biomimetic fish robot designs with soft actuation structure could interact with aquatic creatures closely…

Robotics · Computer Science 2021-10-15 Ningzhe Hou

Adaptive morphogenetic robots adapt their morphology and control policies to meet changing tasks and environmental conditions. Many such systems leverage soft components, which enable shape morphing but also introduce simulation and control…

Underwater robots are widely deployed for ocean exploration and manipulation. Underactuated mechanisms are particularly advantageous in aquatic environments, as reducing actuator count lowers the risk of motor leakage while introducing…

Robotics · Computer Science 2026-03-10 Chenrui Zhang , Yiyuan Zhang , Yunfei Ye , Junkai Chen , Haozhe Wang , Cecilia Laschi

Swimming microrobots are increasingly developed with complex materials and dynamic shapes and are expected to operate in complex environments in which the system dynamics are difficult to model and positional control of the microrobot is…

Robotics · Computer Science 2022-01-17 Michael R. Behrens , Warren C. Ruder

In the last few years, there have been many new developments and significant accomplishments in the research of bionic robot fishes. However, in terms of swimming performance, existing bionic robot fishes lag far behind fish, prompting…

Robotics · Computer Science 2022-07-01 Zhiwei Yu , Kai Li , Yu Ji , Simon X. Yang

The ocean vast unexplored regions and diverse soft-bodied marine organisms have spurred interest in bio-inspired underwater soft robotics. Recent advances have enabled new capabilities in underwater movement, sensing, and interaction.…

Robotics · Computer Science 2025-08-19 Lei Li , Boyang Qin , Wenzhuo Gao , Yanyu Li , Yiyuan Zhang , Bo Wang , Shihan Kong , Jian Wang , Dekui He , Junzhi Yu

Autonomous ocean-exploring vehicles have begun to take advantage of onboard sensor measurements of water properties such as salinity and temperature to locate oceanic features in real time. Such targeted sampling strategies enable more…

Fluid Dynamics · Physics 2024-03-19 Peter Gunnarson , John O. Dabiri

Matching the swimming efficiency and agility of fish has remained an elusive goal in underwater robotics. Such locomotion capabilities rely on complex vortex interactions between the robot's body and the surrounding fluid. However,…

Robotics · Computer Science 2026-05-28 Jeong Hun Lee , Junzhe Hu , Sofia Kwok , Carmel Majidi , Zachary Manchester

Marine exploration is essential to understanding ocean processes and organisms. While the use of current unmanned underwater vehicles has enabled many discoveries, there are still plenty of limitations toward exploring complex environments.…

Precise and high-fidelity force control is critical for new generations of robots that interact with humans and unknown environments. Mobile robots, such as wearable devices and legged robots, must also be lightweight to accomplish their…

Robotics · Computer Science 2022-07-07 Jeff Denis , Jean-Sebastien Plante , Alexandre Girard

We propose and demonstrate a new approach for fast and accurate surrogate modelling of urban drainage system hydraulics based on physics-guided machine learning. The surrogates are trained against a limited set of simulation results from a…

Machine Learning · Computer Science 2022-11-15 Rocco Palmitessa , Morten Grum , Allan Peter Engsig-Karup , Roland Löwe

Inspired by the octopus and other animals living in water, soft robots should naturally lend themselves to underwater operations, as supported by encouraging validations in deep water scenarios. This work deals with equipping soft arms with…

Robotics · Computer Science 2024-10-17 Kyle L. Walker , Cosimo Della Santina , Francesco Giorgio-Serchi

Helical propulsion is used by many microorganisms to swim in viscous-dominated environments. Their swimming dynamics are relatively well understood, but detailed study of the flow fields and actuation mechanisms are still needed to realize…

Soft Condensed Matter · Physics 2022-04-27 Asimanshu Das , Matthew Styslinger , Daniel M. Harris , Roberto Zenit

This paper presents a Long Short-Term Memory network-based Fluid Experiment Data-Driven model (FED-LSTM) for predicting unsteady, nonlinear hydrodynamic forces on the underwater quadruped robot we constructed. Trained on experimental data…

Robotics · Computer Science 2025-09-05 Fei Han , Pengming Guo , Hao Chen , Weikun Li , Jingbo Ren , Naijun Liu , Ning Yang , Dixia Fan
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