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 Experiment Video

Updated: Jan 5, 2026

Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks
11:18

Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks

Published on: March 2, 2015

10.7K

Integrated Robotic and Network Simulation Method.

Daniel Ramos1, Luis Almeida2, Ubirajara Moreno3

  • 1Faculty of Electric Engineering, Federal University of Uberlandia, 38701-002 Patos de Minas, Minas Gerais, Brazil. danielramos@ufu.br.

Sensors (Basel, Switzerland)
|October 24, 2019
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

Response Surface Methodology01:16

Response Surface Methodology

570
Response Surface Methodology (RSM) is a collection of statistical and mathematical techniques used to develop, improve, and optimize processes. It is particularly valuable when many input variables or factors potentially influence a response variable.
The process of RSM involves several key steps:
570
Network Function of a Circuit01:25

Network Function of a Circuit

575
Frequency response analysis in electrical circuits provides vital insights into a circuit's behavior as the frequency of the input signal changes. The transfer function, a mathematical tool, is instrumental in understanding this behavior. It defines the relationship between phasor output and input and comes in four types: voltage gain, current gain, transfer impedance, and transfer admittance. The critical components of the transfer function are the poles and zeros.
575
Control Systems: Applications01:25

Control Systems: Applications

1.1K
Electrical engineering plays a pivotal role in our daily lives, with control systems at the heart of many applications, from home appliances to sophisticated space shuttles. Control systems manage and regulate the behavior of devices and processes, ensuring they function safely, correctly, and efficiently.
In modern vehicles, control systems manage various functions to enhance performance and safety. The steering wheel and accelerator are primary inputs in a car's control system. The...
1.1K
Three-Dimensional Force System:Problem Solving01:30

Three-Dimensional Force System:Problem Solving

1.3K
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...
1.3K
Comparison between RL and RC circuits01:24

Comparison between RL and RC circuits

5.8K
An RC circuit consists of resistance and capacitance, while in an RL circuit, capacitance is replaced by an inductor. RL and RC circuits are first-order differential circuits that store energy. An RC circuit stores energy in the electric field, while an RL circuit stores energy in the magnetic field. When connected to a battery, an RC circuit charges the capacitor, causing the current to decrease from maximum to zero upon being fully charged. This increases the voltage across the capacitor from...
5.8K
Control System Problem01:21

Control System Problem

362
In an open-loop system, such as a basic thermostat, the poles of the transfer function influence the system's response but do not determine its stability. However, when feedback is introduced to form a closed-loop system, such as an advanced thermostat that adjusts heating based on room temperature, stability is governed by the new poles of the closed-loop transfer function.
When forming a closed-loop system, issues can arise if the poles cross into the unstable region, leading to potential...
362

You might also read

Related Articles

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

Sort by
Same author

An Infrastructure for Enabling Dynamic Fault Tolerance in Highly-Reliable Adaptive Distributed Embedded Systems Based on Switched Ethernet.

Sensors (Basel, Switzerland)·2022
Same author

Extending MQTT with Real-Time Communication Services Based on SDN.

Sensors (Basel, Switzerland)·2022
Same author

Optimal Relay Network for Aerial Remote Inspections.

Sensors (Basel, Switzerland)·2022
Same author

Modified Artificial Potential Field for the Path Planning of Aircraft Swarms in Three-Dimensional Environments.

Sensors (Basel, Switzerland)·2022
Same author

A Robust Approach to TDMA Synchronization in Aerial Networks.

Sensors (Basel, Switzerland)·2018
Same journal

RETRACTED: Zhang et al. A Novel Framework for Reconstruction and Imaging of Target Scattering Centers via Wide-Angle Incidence in Radar Networks. <i>Sensors</i> 2025, <i>25</i>, 6802.

Sensors (Basel, Switzerland)·2026
Same journal

Enhancing Unsupervised Multi-Source Domain Adaptation for Person Re-Identification via Mixture of Experts and Graph-Based Relation.

Sensors (Basel, Switzerland)·2026
Same journal

Development of an Instrumented Glove for Palmar Pressure Assessment in Kayakers.

Sensors (Basel, Switzerland)·2026
Same journal

Development and Experimental Validation of an Autonomous IoT-Based Monitoring System for Real-Time Water Quality Assessment in the Amazon River.

Sensors (Basel, Switzerland)·2026
Same journal

Semi-Supervised Adversarial Learning Framework for Controller Area Network Bus Intrusion Detection.

Sensors (Basel, Switzerland)·2026
Same journal

Smart Optimization Method for Safety Signs in Innovative Manufacturing Environments Integrating Industrial Field IoT Sensors and Knowledge Graphs.

Sensors (Basel, Switzerland)·2026
See all related articles

This study introduces the Integrated Robotic and Network Simulation Method (IRoNS Method) for more accurate cooperative robot simulations. The IRoNS Method enhances the transition from simulation to real-world applications by integrating network and control strategies.

Area of Science:

  • Robotics
  • Computer Networking
  • Distributed Systems

Background:

  • Mobile cooperative robots require advanced communication and control strategies for effective operation.
  • Simulation is crucial for testing cooperative robot algorithms, but accuracy gaps between simulation and real-world implementation pose challenges.
  • Existing simulation methods often lack integrated network and control strategy assessments, leading to potential discrepancies.

Purpose of the Study:

  • To propose a systematic methodology, the Integrated Robotic and Network Simulation Method (IRoNS Method), for developing accurate simulations of cooperative robot and communication network applications.
  • To enhance the fidelity of simulations by integrating network and control strategies.
  • To provide a framework for assessing the performance of different cooperative techniques under various network conditions.
Keywords:
communication network simulationnetworked robotic systemsrobot cooperationsimulation frameworksimulation method

More Related Videos

Simulation of a Scaled Assembly Process with Collaboration of a Robotic Arm and Monitoring through a Vision System for Quality Control
05:47

Simulation of a Scaled Assembly Process with Collaboration of a Robotic Arm and Monitoring through a Vision System for Quality Control

Published on: August 29, 2025

352
Designing and Implementing Nervous System Simulations on LEGO Robots
10:34

Designing and Implementing Nervous System Simulations on LEGO Robots

Published on: May 25, 2013

15.6K

Related Experiment Videos

Last Updated: Jan 5, 2026

Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks
11:18

Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks

Published on: March 2, 2015

10.7K
Simulation of a Scaled Assembly Process with Collaboration of a Robotic Arm and Monitoring through a Vision System for Quality Control
05:47

Simulation of a Scaled Assembly Process with Collaboration of a Robotic Arm and Monitoring through a Vision System for Quality Control

Published on: August 29, 2025

352
Designing and Implementing Nervous System Simulations on LEGO Robots
10:34

Designing and Implementing Nervous System Simulations on LEGO Robots

Published on: May 25, 2013

15.6K

Main Methods:

  • Development of the Integrated Robotic and Network Simulation Method (IRoNS Method).
  • Integration of network and control strategies within a unified simulation environment.
  • Case study using the OMNET++/INET framework to simulate a cooperative control scenario with message losses for robots performing a rendezvous task with topology control.

Main Results:

  • The IRoNS Method facilitates more realistic simulations of cooperative robot systems.
  • The methodology improves the presentation and analysis of simulation results.
  • Demonstrated effectiveness in comparing cooperative control strategies with and without message losses.

Conclusions:

  • The IRoNS Method offers a robust approach to bridging the simulation-reality gap in cooperative robotics.
  • Accurate simulations are vital for reliable development and deployment of multi-robot systems.
  • Integrated simulation environments are key to advancing research in cooperative robotics and communication networks.