Deformation control and thrust analysis of a flexible fishtail with muscle-like actuation
In nature, fish have evolved sophisticated muscular systems that enable them to dynamically
regulate their body movements for efficient and agile swimming, which has inspired the …
regulate their body movements for efficient and agile swimming, which has inspired the …
Learning Agile Swimming: An End-to-End Approach Without CPGs
X Lin, X Liu, Y Wang - IEEE Robotics and Automation Letters, 2025 - ieeexplore.ieee.org
The pursuit of agile and efficient underwater robots, especially bio-mimetic robotic fish, has
been impeded by challenges in creating motion controllers that are able to fully exploit their …
been impeded by challenges in creating motion controllers that are able to fully exploit their …
NeDF: neural deflection fields for sparse-view tomographic background oriented Schlieren
Three-dimensional (3D) density-varying turbulent flows are widely encountered in high-
speed aerodynamics, combustion, and heterogeneous mixing processes. Multi-camera …
speed aerodynamics, combustion, and heterogeneous mixing processes. Multi-camera …
Simulating fish autonomous swimming behaviours using deep reinforcement learning based on Kolmogorov–Arnold Networks
T Li, C Zhang, G Zhang, Q Zhou, J Hou… - Bioinspiration & …, 2025 - iopscience.iop.org
The study of fish swimming behaviours and locomotion mechanisms holds significant
scientific and engineering value. With the rapid advancements in artificial intelligence, a new …
scientific and engineering value. With the rapid advancements in artificial intelligence, a new …
Investigating the Influence of Counterflow Regions on the Hydrodynamic Performance of Biomimetic Robotic Fish
Biomimetic robotic fish are a novel approach to studying quiet, highly agile, and efficient
underwater propulsion systems, attracting significant interest from experts in robotics and …
underwater propulsion systems, attracting significant interest from experts in robotics and …
DRLinSPH: An open-source platform using deep reinforcement learning and SPHinXsys for fluid-structure-interaction problems
Fluid-structure interaction (FSI) problems are characterized by strong nonlinearities arising
from complex interactions between fluids and structures. These pose significant challenges …
from complex interactions between fluids and structures. These pose significant challenges …
A numerical simulation research on fish adaption behavior based on deep reinforcement learning and fluid–structure coupling: The refuge–predation behaviors of …
T Li, C Zhang, G Zhang, Q Zhou, J Hou, W Diao… - Physics of …, 2024 - pubs.aip.org
The study of fish swimming behavior and locomotion mechanisms holds substantial
scientific and engineering significance. With the rapid progression of artificial intelligence …
scientific and engineering significance. With the rapid progression of artificial intelligence …