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

Mechanical Systems01:22

Mechanical Systems

266
Mechanical systems are analogous to to electrical networks where springs and masses play similar roles to inductors and capacitors, respectively. A viscous damper in mechanical systems functions similarly to a resistor in electrical networks, dissipating energy. The forces acting on a mass in such systems include an applied force in the direction of motion, counteracted by forces from the spring, a viscous damper, and the mass's acceleration. This interplay of forces is mathematically...
266
One-Degree-of-Freedom System01:24

One-Degree-of-Freedom System

547
In mechanical engineering, one-degree-of-freedom systems form the basis of a wide range of electrical and mechanical components. Using these models, engineers can predict the behavior of various parts in a larger system, which gives them insight into how different forces interact with each other.
A one-degree-of-freedom system is defined by an independent variable that determines its state and behavior. One example of a one-degree-of-freedom system is a simple harmonic oscillator, such as a...
547
Open and closed-loop control systems01:17

Open and closed-loop control systems

952
Control systems are foundational elements in automation and engineering. They are broadly categorized into open-loop and closed-loop systems. These classifications hinge on the presence or absence of feedback mechanisms, significantly influencing the system's performance, complexity, and application.
An open-loop control system operates without feedback from the output. It consists of two primary elements: the controller and the controlled process. The controller receives an input signal...
952
Electro-mechanical Systems01:19

Electro-mechanical Systems

1.1K
Electromechanical systems are intricate configurations that effectively combine electrical and mechanical elements to achieve a desired outcome. Central to many of these systems is the DC motor, a device that converts electrical energy into mechanical motion, enabling various applications ranging from simple fans to complex robotic mechanisms.
A key component of the DC motor is the armature, a rotating circuit positioned within a magnetic field. As an electric current passes through the...
1.1K

You might also read

Related Articles

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

Sort by
Same author

A Low-Cost Wearable Device to Estimate Body Temperature Based on Wrist Temperature.

Sensors (Basel, Switzerland)·2024
Same author

Performance Analysis of Embedded Multilayer Perceptron Artificial Neural Networks on Smart Cyber-Physical Systems for IoT Environments.

Sensors (Basel, Switzerland)·2023
Same author

Methodology for the Development of Augmented Reality Applications: MeDARA. Drone Flight Case Study.

Sensors (Basel, Switzerland)·2022
Same author

MEIoT 2D-CACSET: IoT Two-Dimensional Cartesian Coordinate System Educational Toolkit Align with Educational Mechatronics Framework.

Sensors (Basel, Switzerland)·2022
Same author

Pattern Recognition of EMG Signals by Machine Learning for the Control of a Manipulator Robot.

Sensors (Basel, Switzerland)·2022
Same author

Two-Dimensional Cartesian Coordinate System Educational Toolkit: 2D-CACSET.

Sensors (Basel, Switzerland)·2021

Related Experiment Video

Updated: Sep 1, 2025

Characterization of the Sense of Agency over the Actions of Neural-machine Interface-operated Prostheses
05:21

Characterization of the Sense of Agency over the Actions of Neural-machine Interface-operated Prostheses

Published on: January 7, 2019

8.0K

UAV-Based Smart Educational Mechatronics System Using a MoCap Laboratory and Hardware-in-the-Loop.

Luis F Luque-Vega1, Emmanuel Lopez-Neri1, Carlos A Arellano-Muro2

  • 1Centro de Investigación, Innovación y Desarrollo Tecnológico CIIDETEC-UVM, Universidad del Valle de México, Tlaquepaque 45604, Jalisco, Mexico.

Sensors (Basel, Switzerland)
|August 12, 2022
PubMed
Summary

Universities can now effectively teach unmanned aerial vehicle (UAV) skills using a novel mechatronics system. This system integrates motion capture and hardware-in-the-loop simulation for practical drone education.

Keywords:
Industry 4.0UAVeducational mechatronics

More Related Videos

Investigating Motor Skill Learning Processes with a Robotic Manipulandum
07:52

Investigating Motor Skill Learning Processes with a Robotic Manipulandum

Published on: February 12, 2017

8.8K
Author Spotlight: Enhancing Engineering Education via WebVR-Based Online Laboratories
04:15

Author Spotlight: Enhancing Engineering Education via WebVR-Based Online Laboratories

Published on: February 23, 2024

1.2K

Related Experiment Videos

Last Updated: Sep 1, 2025

Characterization of the Sense of Agency over the Actions of Neural-machine Interface-operated Prostheses
05:21

Characterization of the Sense of Agency over the Actions of Neural-machine Interface-operated Prostheses

Published on: January 7, 2019

8.0K
Investigating Motor Skill Learning Processes with a Robotic Manipulandum
07:52

Investigating Motor Skill Learning Processes with a Robotic Manipulandum

Published on: February 12, 2017

8.8K
Author Spotlight: Enhancing Engineering Education via WebVR-Based Online Laboratories
04:15

Author Spotlight: Enhancing Engineering Education via WebVR-Based Online Laboratories

Published on: February 23, 2024

1.2K

Area of Science:

  • Mechatronics Engineering
  • Robotics Education
  • Industry 4.0 Technologies

Background:

  • Industry 4.0 increasingly utilizes intelligent drones, yet universities lack adequate training for these technologies.
  • A gap exists in developing specialized knowledge and skills for managing and applying advanced drone systems in academia.

Purpose of the Study:

  • To present an Unmanned Aerial Vehicle (UAV)-based smart educational mechatronics system.
  • To enhance the teaching of UAV knowledge and skills within the Educational Mechatronics Conceptual Framework (EMCF).

Main Methods:

  • Utilized a motion capture (MoCap) laboratory for real-time drone localization.
  • Implemented a hardware-in-the-loop (HIL) simulation with a Simulink drone model and an embedded system.
  • Integrated a DJI Phantom 4 for practical validation and testing.

Main Results:

  • The system effectively teaches UAV waypoint navigation and drone flight control concepts.
  • Enabled validation of the physical drone model and testing of trajectory tracking control.
  • Facilitated knowledge construction through practical activities and tasks.

Conclusions:

  • The developed smart educational mechatronics system significantly improves UAV education.
  • It enriches university courses by providing hands-on experience and validating drone control principles.
  • This approach bridges the gap between academic learning and Industry 4.0 demands.