Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Multi-input and Multi-variable systems

Multi-input and Multi-variable systems

Cruise control systems in cars are designed as multi-input systems to maintain a driver's desired speed while compensating for external disturbances such as changes in terrain. The block diagram for a cruise control system typically includes two main inputs: the desired speed set by the driver and any external disturbances, such as the incline of the road. By adjusting the engine throttle, the system maintains the vehicle's speed as close to the desired value as possible.
In the absence of...

Collisions in Multiple Dimensions: Problem Solving

Collisions in Multiple Dimensions: Problem Solving

In multiple dimensions, the conservation of momentum applies in each direction independently. Hence, to solve collisions in multiple dimensions, we should write down the momentum conservation in each direction separately. To help understand collisions in multiple dimensions, consider an example.
A small car of mass 1,200 kg traveling east at 60 km/h collides at an intersection with a truck of mass 3,000 kg traveling due north at 40 km/h. The two vehicles are locked together. What is the...

Three-Dimensional Force System:Problem Solving

Three-Dimensional Force System:Problem Solving

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...

Open and closed-loop control systems

Open and closed-loop control systems

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...

Relative Motion Analysis using Rotating Axes-Problem Solving

Relative Motion Analysis using Rotating Axes-Problem Solving

Consider a crane whose telescopic boom rotates with an angular velocity of 0.04 rad/s and angular acceleration of 0.02 rad/s2. Along with the rotation, the boom also extends linearly with a uniform speed of 5 m/s. The extension of the boom is measured at point D, which is measured with respect to the fixed point C on the other end of the boom. For the given instant, the distance between points C and D is 60 meters.
Here, in order to determine the magnitude of velocity and acceleration for point...

One-Degree-of-Freedom System

One-Degree-of-Freedom System

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...

You might also read

Related Articles

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

Sort by

Same author

Data driven water quality assessment using machine learning and synthetic data generation.

Scientific reports·2026

Same author

Mechano-biological mechanisms of femoral head collapse in osteonecrosis: a multiscale zonal analysis.

Hip international : the journal of clinical and experimental research on hip pathology and therapy·2026

Same author

Multiscale mechano-biological characterization of necrotic, sclerotic, and healthy zones in femoral head osteonecrosis: linking viscoelastic heterogeneity to mechanical failure.

Calcified tissue international·2026

Same author

A Systematic Review on Carbon Nanotube- and Graphene Nanoplatelet-Reinforced Plasma-Sprayed Alumina-Based Hybrid Nanocomposite Coatings.

ACS omega·2026

Same author

Absolute Quantification of microRNA Copies in Exosomes Using Real-Time PCR.

Current protocols·2026

Same author

Stress-induced alteration of small extracellular vesicles drives amyloid-beta sequestration and exacerbates Alzheimer's disease pathogenesis.

Alzheimer's research & therapy·2026

Search research articles

Related Experiment Video

Updated: Jan 7, 2026

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy

Published on: October 14, 2017

Multiple trajectory optimization and control of robotic agents using hybrid fuzzy embedded artificial intelligence

Saroj Kumar¹, Krishna Kant Pandey², Dayal R Parhi³

¹Centre of Excellence in Robotics, O.P. Jindal University, Raigarh, Chhattisgarh, 496109, India.

Scientific Reports

|December 30, 2025

Summary

This study introduces a novel hybrid approach combining fuzzy logic and a marine predator algorithm for wheeled robot path optimization. This method enhances navigation efficiency and avoids collisions in complex environments.

Keywords:

Artificial intelligence Control Mobile robot Navigation Optimization Petri-Net Soft computing

More Related Videos

Operation of the Collaborative Composite Manufacturing CCM System

Operation of the Collaborative Composite Manufacturing CCM System

Published on: October 1, 2019

Insect-controlled Robot: A Mobile Robot Platform to Evaluate the Odor-tracking Capability of an Insect

Insect-controlled Robot: A Mobile Robot Platform to Evaluate the Odor-tracking Capability of an Insect

Published on: December 19, 2016

Related Experiment Videos

Last Updated: Jan 7, 2026

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy

Published on: October 14, 2017

Operation of the Collaborative Composite Manufacturing CCM System

Operation of the Collaborative Composite Manufacturing CCM System

Published on: October 1, 2019

Insect-controlled Robot: A Mobile Robot Platform to Evaluate the Odor-tracking Capability of an Insect

Insect-controlled Robot: A Mobile Robot Platform to Evaluate the Odor-tracking Capability of an Insect

Published on: December 19, 2016

Area of Science:

Robotics
Artificial Intelligence
Control Systems

Background:

Wheeled robots are crucial for automating complex tasks, replacing human effort.
Optimizing robotic paths and minimizing time consumption are key challenges in current automation goals.
Path optimization and control of mobile robots remain active research areas.

Purpose of the Study:

To develop a multi-objective path optimization technique for wheeled robots.
To enhance navigation efficiency and reduce task completion time for mobile robots.
To address real-time objectives in robotic path planning and control.

Main Methods:

A hybrid approach combining fuzzy logic and a modified marine predator optimization algorithm was developed.
Fuzzy logic processed obstacle distances, with its output feeding into the optimization algorithm.
A Petri-Net controller was integrated to manage navigation and prevent inter-robot collisions with moving obstacles.

Main Results:

The hybrid fuzzy-marine predator algorithm demonstrated successful navigation for multiple robots in simulations and real-time experiments.
The proposed technique showed an average improvement of approximately 10% or more in navigational parameters compared to existing methods.
The system effectively avoided inter-robot collisions in the presence of moving obstacles.

Conclusions:

The hybridized fuzzy-marine predator optimization algorithm offers a robust solution for mobile robot path planning.
The integration of a Petri-Net controller further refines navigation, especially in dynamic environments with multiple robots.
The proposed method significantly improves navigational parameters, validating its effectiveness against other AI techniques.