Learning how to avoid obstacles: A numerical investigation for maneuvering of self‐propelled fish based on deep reinforcement learning

Active flow control using machine learning: A brief review

(2020) Feng Ren et al.   Journal of Hydrodynamics

Active flow control with rotating cylinders by an artificial neural network trained by deep reinforcement learning

(2020) Hui Xu et al.   Journal of Hydrodynamics

A numerical simulation method for bionic fish self-propelled swimming under control based on deep reinforcement learning

(2020) Lang Yan et al.   PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART C-JOURNAL OF MECHANICAL ENGINEERING SCIENCE

Swimming strategy of settling elongated micro-swimmers by reinforcement learning

(2020) JingRan Qiu et al.   Science China-Physics Mechanics & Astronomy

Artificial neural networks trained through deep reinforcement learning discover control strategies for active flow control

(2019) Jean Rabault et al.   JOURNAL OF FLUID MECHANICS

Obstacle effects on electrocommunication with applications to object detection of underwater robots

(2019) Yu-Ting Chen et al.   Bioinspiration & Biomimetics

Machine Learning for Fluid Mechanics

(2019) Steven L. Brunton et al.   Annual Review of Fluid Mechanics

A parallel implicit hole-cutting method based on background mesh for unstructured Chimera grid

(2019) X.H. Chang et al.   COMPUTERS & FLUIDS

Efficient collective swimming by harnessing vortices through deep reinforcement learning

(2018) Siddhartha Verma et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Yaw-Guided Trajectory Tracking Control of an Asymmetric Underactuated Surface Vehicle

(2018) Ning Wang et al.   IEEE Transactions on Industrial Informatics

Finding efficient swimming strategies in a three-dimensional chaotic flow by reinforcement learning

(2017) K. Gustavsson et al.   EUROPEAN PHYSICAL JOURNAL E

Sliding mode fuzzy control-based path-following control for a dolphin robot

(2017) Jincun Liu et al.   Science China-Information Sciences

Autonomous Optimization of Swimming Gait in a Fish Robot With Multiple Onboard Sensors

(2017) Wei Wang et al.   IEEE Transactions on Systems Man Cybernetics-Systems

Human-level control through deep reinforcement learning

(2015) Volodymyr Mnih et al.   NATURE

Reinforcement Learning and Wavelet Adapted Vortex Methods for Simulations of Self-propelled Swimmers

(2014) Mattia Gazzola et al.   SIAM JOURNAL ON SCIENTIFIC COMPUTING

A kinematic model of Karman gaiting in rainbow trout

(2013) O. Akanyeti et al.   JOURNAL OF EXPERIMENTAL BIOLOGY

Applications of dynamic hybrid grid method for three-dimensional moving/deforming boundary problems

(2012) Laiping Zhang et al.   COMPUTERS & FLUIDS

Biological Inspiration: From Carangiform Fish to Multi-Joint Robotic Fish

(2010) Jindong Liu et al.   Journal of Bionic Engineering

Efficient mesh motion using radial basis functions with data reduction algorithms

(2009) T.C.S. Rendall et al.   JOURNAL OF COMPUTATIONAL PHYSICS

A block LU-SGS implicit unsteady incompressible flow solver on hybrid dynamic grids for 2D external bio-fluid simulations

(2008) L.P. Zhang et al.   COMPUTERS & FLUIDS