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Blindfolded harbor seals are able to use their uniquely shaped whiskers to track vortex wakes left by moving animals and objects that passed by up to 30 seconds earlier; this is an impressive feat as the flow features they detect may have…

Fluid Dynamics · Physics 2015-01-20 Heather R. Beem , Michael S. Triantafyllou

A novel model of the wake of swimming fish is developed and incorporated into a dynamical model of a fish school to explore the effect of hydrodynamics on the emergent behavior in schooling fish. The model incorporates well-established…

Fluid Dynamics · Physics 2025-07-11 Ji Zhou , Jung-Hee Seo , Rajat Mittal

The structure of swimmers' wakes is often assumed to be an indicator of swimming performance, that is, how momentum is produced and energy is consumed. Here, we discuss three cases where this assumption fails. In general, great care should…

Fluid Dynamics · Physics 2020-07-01 Daniel Floryan , Tyler Van Buren , Alexander J. Smits

Many aquatic organisms are able to track ambient flow disturbances and locate their source. These tasks are particularly challenging because they require the organism to sense local flow information and respond accordingly. Details of how…

Optimization and Control · Mathematics 2018-04-10 Brendan Colvert , Eva Kanso

A variety of anomaly detection schemes have been proposed to detect malicious attacks to Cyber-Physical Systems. Among these schemes, Dynamic Watermarking methods have been proven highly effective at detecting a wide range of attacks.…

Systems and Control · Computer Science 2018-10-19 Matthew Porter , Arnav Joshi , Pedro Hespanhol , Anil Aswani , Matthew Johnson-Roberson , Ram Vasudevan

This research develops a novel sensor for aquatic robots inspired by the whiskers of harbor seals. This sensor can detect the movement of water, offering valuable data on speed, currents, barriers, and water disturbance. It employs a…

Robotics · Computer Science 2023-07-20 Tuo Wang , Teresa A. Kent , Sarah Bergbreiter

Unsteady flows contain information about the objects creating them. Aquatic organisms offer intriguing paradigms for extracting flow information using local sensory measurements. In contrast, classical methods for flow analysis require…

Fluid Dynamics · Physics 2018-05-09 Brendan Colvert , Mohamad Alsalman , Eva Kanso

The artificial lateral line (ALL), comprising distributed flow sensors, has been successful in sensing motion states of bioinspired underwater robots like robotic fish. However, its application to robots driven by rotating propellers…

Robotics · Computer Science 2025-02-18 Jun Wang , Dexin Zhao , Youxi Zhao , Feitian Zhang , Tongsheng Shen

The unsteady flow physics of wind-turbine wakes under dynamic forcing conditions are critical to the modeling and control of wind farms for optimal power density. Unsteady forcing in the streamwise direction may be generated by unsteady…

Fishes, cetaceans, and many other aquatic vertebrates undulate their bodies to propel themselves through water. Swimming requires an intricate interplay between sensing the environment, making decisions, controlling internal dynamics, and…

Fluid Dynamics · Physics 2026-01-26 L. fu , S. Israilov , J. Sanchez Rodriguez , C. Brouzet , G. Allibert , C. Raufaste , M. Argentina

Fish schooling implies an awareness of the swimmers for their companions. In flow mediated environments, in addition to visual cues, pressure and shear sensors on the fish body are critical for providing quantitative information that…

A machine learning model is developed to establish wake patterns behind oscillating foils whose kinematics are within the energy harvesting regime. The role of wake structure is particularly important for array deployments of oscillating…

Fluid Dynamics · Physics 2023-03-03 Bernardo Luiz R. Ribeiro , Jennifer A. Franck

Animals locomote for various reasons: to search for food, find suitable habitat, pursue prey, escape from predators, or seek a mate. The grand scale of biodiversity contributes to the great locomotory design and mode diversity. Various…

Computer Vision and Pattern Recognition · Computer Science 2021-05-27 Soo Min Kang , Richard P. Wildes

Hydrodynamic signatures at the Stokes regime, pertinent to motility of micro-swimmers, have a long-range nature. This implies that movements of an object in such a viscosity-dominated regime, can be felt tens of body-lengths away and…

Fluid Dynamics · Physics 2020-10-07 Mehdi Mirzakhanloo , Soheil Esmaeilzadeh , Mohammad-Reza Alam

Accurate detection of locomotion transitions, such as walk to sit, walk to stair ascent, and descent, is crucial to effectively control robotic assistive devices, such as lower-limb exoskeletons, as each locomotion mode requires specific…

Machine learning techniques have received attention in fluid dynamics in terms of predicting, clustering and classifying complex flow physics. One application has been the classification or clustering of various wake structures that emanate…

Fluid Dynamics · Physics 2021-08-06 Bernardo Luiz R. Ribeiro , Jennifer A. Franck

Inspired by the wake-surfing nature of animals, this study aims to understand the aerodynamic force variation on a wing surfing in an unsteady 2-D wake. Wind tunnel experiments were conducted using Particle Image Velocimetry (PIV) and force…

Fluid Dynamics · Physics 2025-12-11 Siyang Hao , Kenneth Breuer

Autonomous aerial and aquatic robots that attain mobility by perturbing their medium, such as multicopters and torpedoes, produce wake effects that act as disturbances for adjacent robots. Wake effects are hard to model and predict due to…

Robotics · Computer Science 2026-03-25 Luca Vendruscolo , Eduardo Sebastián , Amanda Prorok , Ajay Shankar

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

Biomedical signals carry signature rhythms of complex physiological processes that control our daily bodily activity. The properties of these rhythms indicate the nature of interaction dynamics among physiological processes that maintain a…

Machine Learning · Computer Science 2020-12-14 Yassin Khalifa , Danilo Mandic , Ervin Sejdić
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