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Scaling laws for the propulsive performance of rigid foils undergoing oscillatory heaving and pitching motions are presented. Water tunnel experiments on a nominally two-dimensional flow validate the scaling laws, with the scaled data for…

Fluid Dynamics · Physics 2017-06-09 Daniel Floryan , Tyler Van Buren , Clarence W. Rowley , Alexander J. Smits

We demonstrate that any physical object, as long as its volume is conserved when coupled with suitable operations, provides a sophisticated decision-making capability. We consider the problem of finding, as accurately and quickly as…

Artificial Intelligence · Computer Science 2015-09-02 Song-Ju Kim , Masashi Aono , Etsushi Nameda

Adaptive robust optimization (ARO) extends static robust optimization by allowing decisions to depend on the realized uncertainty - weakly dominating static solutions within the modeled uncertainty set. However, ARO makes previous…

Optimization and Control · Mathematics 2025-11-20 Karl Zhu , Dimitris Bertsimas

The effect of flexibility on the hydrodynamic loads and on the flow structures generated on a rectangular foil when oscillating in pitch has been studied. Hydrodynamic loads were measured with a 6-axes balance, and the flow structures were…

Fluid Dynamics · Physics 2013-10-15 R. Fernandez-Prats , F. J. Huera-Huarte

We designed and built a three degrees-of-freedom (DOF) flapping wing robot, Flapperoo, to study the aerodynamic benefits of wing folding and twisting. Forces and moments of this physical model are measured in wind tunnel tests over a…

Fluid Dynamics · Physics 2024-08-29 Xiaozhou Fan , Alexander Gehrke , Kenneth Breuer

The relativistic motion of an arbitrary point of an accelerated rigid rod is discussed for the case when velocity and acceleration are directed along the rod's length. The discussion includes the case of a time-dependent force applied to a…

Classical Physics · Physics 2014-11-18 H. Nikolic

A central question in robotics is how to design a control system for an agile mobile robot. This paper studies this question systematically, focusing on a challenging setting: autonomous drone racing. We show that a neural network…

Robotics · Computer Science 2023-10-19 Yunlong Song , Angel Romero , Matthias Mueller , Vladlen Koltun , Davide Scaramuzza

The propulsion of many eukaryotic cells is generated by flagella, flexible slender filaments that are actively oscillating in space and time. The dynamics of these biological appendages have inspired the design of many types of artificial…

Soft Condensed Matter · Physics 2025-04-15 Mariia Dvoriashyna , Eric Lauga

Swimming velocity and rate of dissipation of a sphere with surface distortions are discussed on the basis of the Stokes equations of low Reynolds number hydrodynamics. At first the surface distortions are assumed to cause an irrotational…

Fluid Dynamics · Physics 2015-06-19 B. U. Felderhof , R. B. Jones

Flapping flight and swimming are increasingly studied both due to their intrinsic scientific richness and their applicability to novel robotic systems. Strip theory is often applied to flapping wings, but such modeling is only rigorously…

Fluid Dynamics · Physics 2020-10-15 A. N. Zurman-Nasution , B. Ganapathisubramani , G. D. Weymouth

We investigate the dynamics of a single semiflexible filament, under the action of a compressing force, using numerical simulations and scaling arguments. The force is applied along the end to end vector at one extremity of the filament,…

Soft Condensed Matter · Physics 2009-11-07 P. Ranjith , P. B. Sunil Kumar

The performance of reinforcement learning depends upon designing an appropriate action space, where the effect of each action is measurable, yet, granular enough to permit flexible behavior. So far, this process involved non-trivial user…

Machine Learning · Computer Science 2021-06-08 Edoardo Cetin , Oya Celiktutan

Aerodynamic shape optimization has established itself as a valuable tool in the engineering design process to achieve highly efficient results. A central aspect for such approaches is the mapping from the design parameters which encode the…

Computational Engineering, Finance, and Science · Computer Science 2019-10-17 Jakub Kmec , Sebastian Schmitt

In order to determine the optimal strategy to run a race on a curved track according to the lane number, we introduce a model based on differential equations for the velocity, the propulsive force and the anaerobic energy which takes into…

Systems and Control · Computer Science 2019-09-09 Amandine Aftalion , Pierre Martinon

Biological locomotion, observed in the flexible wings of birds and insects, bodies and fins of aquatic mammals and fishes, consists of their ability to morph the wings/fins. The morphing capability holds significance in the abilities of…

Fluid Dynamics · Physics 2022-10-19 Pragalbh Dev Singh , Ishan Neogi , Vardhan Niral Shah , Vaibhav Joshi

Hovering insects are limited by their physiology and need to rotate their wings at the end of each back and forth motion to keep the wing's leading edge ahead of its trailing edge. The wing rotation at the end of each half-stroke pushes the…

Fluid Dynamics · Physics 2022-10-28 Swathi Krishna , Alexander Gehrke , Karen Mulleners

Swimming fish and flying insects use the flapping of fins and wings to generate thrust. In contrast, microscopic organisms typically deform their appendages in a wavelike fashion. Since a flapping motion with two degrees of freedom is able,…

Fluid Dynamics · Physics 2014-06-18 Loic Was , Eric Lauga

The levels of agility and flight or swimming performance demonstrated by insects, birds, fish, and even some aquatic invertebrates, are often vastly superior to what even the most advanced human-engineered vehicles operating in the same…

Fluid Dynamics · Physics 2021-12-21 Christoph Busch , Alexander Gehrke , Karen Mulleners

The subject of this paper is reinforcement learning. Policies are considered here that produce actions based on states and random elements autocorrelated in subsequent time instants. Consequently, an agent learns from experiments that are…

Machine Learning · Computer Science 2020-09-11 Marcin Szulc , Jakub Łyskawa , Paweł Wawrzyński

We study the problem of online model selection in reinforcement learning, where the selector has access to a class of reinforcement learning agents and learns to adaptively select the agent with the right configuration. Our goal is to…

Machine Learning · Computer Science 2025-12-03 Aida Afshar , Aldo Pacchiano