AIMC Topic: Swimming

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A Deep Neural Network-Based Model for Quantitative Evaluation of the Effects of Swimming Training.

Computational intelligence and neuroscience
This paper analyzes the quantitative assessment model of the swimming training effect based on the deep neural network by constructing a deep neural network model and designing a quantitative assessment model of the swimming training effect. This pap...

Bacteria-inspired magnetically actuated rod-like soft robot in viscous fluids.

Bioinspiration & biomimetics
This paper seeks to design, develop, and explore the locomotive dynamics and morphological adaptability of a bacteria-inspired rod-like soft robot propelled in highly viscous Newtonian fluids. The soft robots were fabricated as tapered, hollow rod-li...

A Multifunctional Light-Driven Swimming Soft Robot for Various Application Scenarios.

International journal of molecular sciences
The locomotor behavior of creatures in nature can bring a lot of inspiration for the fabrication of soft actuators. In this paper, we fabricated a bionic light-driven swimming soft robot that can perform grasping of tiny objects and achieve the task ...

Miniature Amphibious Robot Actuated by Rigid-Flexible Hybrid Vibration Modules.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)
Amphibious robots can undertake various tasks in terrestrial and aquatic environments for their superior environmental compatibility. However, the existing amphibious robots usually utilize multi-locomotion systems with transmission mechanisms, leadi...

Motion mechanism and thrust characteristics of amphibious robots with long fin fluctuation for propulsion on hard level ground.

Bioinspiration & biomimetics
This paper presents the principle of motion, mechanical modeling and key characteristics of the propulsive force of a new flexible-fin traveling wave propulsion mechanism used in an amphibious robot. Firstly, the form of motion and the basic propulsi...

Ultrafast small-scale soft electromagnetic robots.

Nature communications
High-speed locomotion is an essential survival strategy for animals, allowing populating harsh and unpredictable environments. Bio-inspired soft robots equally benefit from versatile and ultrafast motion but require appropriate driving mechanisms and...

Automatic Swimming Activity Recognition and Lap Time Assessment Based on a Single IMU: A Deep Learning Approach.

Sensors (Basel, Switzerland)
This study presents a deep learning model devoted to the analysis of swimming using a single Inertial Measurement Unit (IMU) attached to the sacrum. Gyroscope and accelerometer data were collected from 35 swimmers with various expertise levels during...

SurferBot: a wave-propelled aquatic vibrobot.

Bioinspiration & biomimetics
Nature has evolved a vast array of strategies for propulsion at the air-fluid interface. Inspired by a survival mechanism initiated by the honeybee () trapped on the surface of water, we here present the: a centimeter-scale vibrating robotic device t...

Robust, Healable, Self-Locomotive Integrated Robots Enabled by Noncovalent Assembled Gradient Nanostructure.

Nano letters
Integration, being lightweight, and intelligence are important orientations for the future advancement of soft robots. However, existing soft robots are generally hydrogels or silicone rubber, which are inherently mechanically inferior and easily dam...

Physics and applications of squid-inspired jetting.

Bioinspiration & biomimetics
In the aquatic world jet propulsion is a highly successful locomotion method utilized by a variety of species. Among them cephalopods such as squids excel in their ability for high-speed swimming. This mechanism inspires the development of underwater...