Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Three-Dimensional Force System:Problem Solving01:30

Three-Dimensional Force System:Problem Solving

913
A three-dimensional force system refers to a scenario in which three forces act simultaneously in three different directions. This type of problem is commonly encountered in physics and engineering, where it is necessary to calculate the resultant force on the system, which can then be used to predict or analyze the behavior of the object or structure under consideration.
To solve a three-dimensional force system, first resolve each force into its respective scalar components. Do this using...
913
Three-Dimensional Force System01:30

Three-Dimensional Force System

2.3K
In mechanical engineering, a three-dimensional force system is a system of forces acting in three dimensions, with forces applied along the x, y, and z coordinate axes. The three-dimensional force system is an important concept in mechanical engineering, as it allows engineers to understand and analyze the behavior of objects and structures in three dimensions. By understanding the forces acting on a system, engineers can design more efficient and effective mechanical systems that can withstand...
2.3K
Two-Dimensional Force System: Problem Solving01:29

Two-Dimensional Force System: Problem Solving

711
Solving problems related to two-dimensional force systems is an essential aspect of mechanics and engineering. By applying the principles of vector analysis and force equilibrium, one can determine the effect of multiple forces acting on an object in a two-dimensional space.
The first step to solving a two-dimensional force system problem is to draw a free-body diagram of the object under consideration. This diagram helps identify all the external forces acting on the object, including their...
711
Two-Dimensional Force System01:20

Two-Dimensional Force System

1.1K
A two-dimensional system in mechanical engineering involves the analysis of motion and forces in a plane. A two-dimensional force vector can be resolved into its components as:
1.1K
Power Expended by a Constant Force00:57

Power Expended by a Constant Force

7.7K
The relationship between work done and the time taken to do it can be explained using the concept of power. For example, several sprinters in a race may have the same velocity when they reach the finish line, therefore doing the same amount of work, but the winner does it in the least amount of time. Thus, power is defined as the rate of doing work. Since work can vary as a function of time, the average power is defined as the work done during a time interval, divided by the time interval.
7.7K
Hydrostatic Pressure Force on a Curved Surface01:04

Hydrostatic Pressure Force on a Curved Surface

2.1K
Hydrostatic pressure on curved surfaces is a fundamental concept in fluid mechanics with broad applications in the civil engineering field. When fluid is in contact with a curved surface, as in a reservoir, dam, or storage tank, it exerts pressure that varies in magnitude and direction along the curved surface. To assess the total hydrostatic force exerted by the fluid on a curved structure, engineers typically isolate the fluid volume adjacent to the surface and analyze the forces acting on...
2.1K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

An affordable open-source hydrophone for low-frequency underwater acoustic measurements for educational and small-laboratory applications.

HardwareX·2026
Same author

Design of a low-cost, portable blower-based breath simulator using 3D printing for respiratory research and education.

HardwareX·2026
Same author

Model identification of ventilation air pump utilizing Ridge-momentum regression and Grid-based structure optimization.

Mathematical biosciences and engineering : MBE·2025
Same author

Low-cost electronic DC load module design for battery capacity evaluation.

HardwareX·2025
Same author

Continuous Flow Photoelectrochemical Reactor with Gas Permeable Photocathode: Enhanced Photocurrent and Partial Current Density for CO<sub>2</sub> Reduction.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)·2024
Same author

Essential Oil and Waste Hydrosol of Ocimum Tenuiflorum L.: A Low-Cost Raw Material Source of Eugenol, Botanical Pesticides, and Therapeutic Potentiality.

Chemistry & biodiversity·2024

Related Experiment Video

Updated: Sep 29, 2025

Flapping Soft Fin Deformation Modeling using Planar Laser-Induced Fluorescence Imaging
06:20

Flapping Soft Fin Deformation Modeling using Planar Laser-Induced Fluorescence Imaging

Published on: April 28, 2022

2.2K

Force Optimization of Elongated Undulating Fin Robot Using Improved PSO-Based CPG.

Van Dong Nguyen1, Quang Duy Tran1, Quoc Tuan Vu1

  • 1National Key Laboratory of Digital Control and System Engineering (DCSELab), Ho Chi Minh City University of Technology (HCMUT), 268 Ly Thuong Kiet Street, District 10, Ho Chi Minh City, Vietnam.

Computational Intelligence and Neuroscience
|March 21, 2022
PubMed
Summary
This summary is machine-generated.

This study enhances biorobotic fish locomotion using a coupled central pattern generator (CPG) network and differential particle swarm optimization (D-PSO). The D-PSO optimized CPG model significantly improves swimming speed and propulsive performance in undulating fin robots.

More Related Videos

Cardiac Muscle-cell Based Actuator and Self-stabilizing Biorobot - PART 1
11:22

Cardiac Muscle-cell Based Actuator and Self-stabilizing Biorobot - PART 1

Published on: July 11, 2017

8.2K
Operation of the Collaborative Composite Manufacturing CCM System
10:09

Operation of the Collaborative Composite Manufacturing CCM System

Published on: October 1, 2019

6.7K

Related Experiment Videos

Last Updated: Sep 29, 2025

Flapping Soft Fin Deformation Modeling using Planar Laser-Induced Fluorescence Imaging
06:20

Flapping Soft Fin Deformation Modeling using Planar Laser-Induced Fluorescence Imaging

Published on: April 28, 2022

2.2K
Cardiac Muscle-cell Based Actuator and Self-stabilizing Biorobot - PART 1
11:22

Cardiac Muscle-cell Based Actuator and Self-stabilizing Biorobot - PART 1

Published on: July 11, 2017

8.2K
Operation of the Collaborative Composite Manufacturing CCM System
10:09

Operation of the Collaborative Composite Manufacturing CCM System

Published on: October 1, 2019

6.7K

Area of Science:

  • Robotics
  • Control Systems
  • Biomimetics

Background:

  • Biorobotic fish offer advanced underwater capabilities, including speed and maneuverability.
  • Locomotion control in these robots is crucial for performance.
  • Existing models require optimization for enhanced propulsive efficiency.

Purpose of the Study:

  • To investigate an enhanced central pattern generator (CPG) model for biorobotic fish locomotion.
  • To implement differential particle swarm optimization (D-PSO) for CPG parameter tuning.
  • To improve swimming speed and propulsive performance of an undulating fin robot.

Main Methods:

  • Developed a CPG network with sixteen coupled Hopf oscillators for gait generation.
  • Introduced differential particle swarm optimization (D-PSO) to optimize CPG parameters.
  • Compared D-PSO with traditional PSO and genetic algorithm (GA) for parameter tuning.
  • Tested the D-PSO-based CPG on a physical undulating fin robot.

Main Results:

  • The D-PSO-optimized CPG network increased thrust force, leading to faster swimming speeds.
  • The D-PSO method demonstrated superiority over traditional PSO and GA in CPG parameter tuning.
  • The optimized undulating fin robot showed a 5.92% average increase in propulsive force compared to the standard CPG model.

Conclusions:

  • The D-PSO-based CPG model effectively enhances the propulsive performance of biorobotic fish.
  • This optimization approach leads to significant improvements in swimming speed and efficiency.
  • The study validates the effectiveness of D-PSO for controlling complex biorobotic systems.