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

Distributed Loads: Problem Solving01:21

Distributed Loads: Problem Solving

1.1K
Beams are structural elements commonly employed in engineering applications requiring different load-carrying capacities. The first step in analyzing a beam under a distributed load is to simplify the problem by dividing the load into smaller regions, which allows one to consider each region separately and calculate the magnitude of the equivalent resultant load acting on each portion of the beam. The magnitude of the equivalent resultant load for each region can be determined by calculating...
1.1K
Optimal Foraging00:48

Optimal Foraging

13.6K
How animals obtain and eat their food is called foraging behavior. Foraging can include searching for plants and hunting for prey and depends on the species and environment.
13.6K
Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving01:29

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

282
Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
282
Sequence Networks of Rotating Machines01:24

Sequence Networks of Rotating Machines

481
A Y-connected synchronous generator, grounded through a neutral impedance, is designed to produce balanced internal phase voltages with only positive-sequence components. The generator's sequence networks include a source voltage that is exclusively in the positive-sequence network. The sequence components of line-to-ground voltages at the generator terminals illustrate this configuration.
Zero-sequence current induces a voltage drop across the generator's neutral impedance and other...
481
Relative Motion Analysis using Rotating Axes-Problem Solving01:29

Relative Motion Analysis using Rotating Axes-Problem Solving

693
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...
693
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

You might also read

Related Articles

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

Sort by
Same author

Task Scheduling of Multiple Humanoid Robot Manipulators by Using Symbolic Control.

Biomimetics (Basel, Switzerland)·2025
See all related articles

Related Experiment Video

Updated: Jan 13, 2026

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy
11:53

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

Published on: October 14, 2017

12.1K

Path Optimization for Cluster Order Picking in Warehouse Robotics Using Hybrid Symbolic Control and Bio-Inspired

Mete Özbaltan1, Serkan Çaşka2, Merve Yıldırım3

  • 1Department of Electrical and Electronics Engineering, Faculty of Engineering and Architecture, İzmir Bakırçay University, 35665 İzmir, Türkiye.

Biomimetics (Basel, Switzerland)
|October 28, 2025
PubMed
Summary

This study introduces a hybrid model for warehouse robot path optimization using symbolic control and nature-inspired algorithms. The approach enhances efficiency, reducing travel paths within clusters and across entire warehouses.

Keywords:
cluster order pickingmetaheuristic approachespath optimizationsymbolic discrete controller synthesiswarehouse robotics

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

414
Operation of the Collaborative Composite Manufacturing CCM System
10:09

Operation of the Collaborative Composite Manufacturing CCM System

Published on: October 1, 2019

7.1K

Related Experiment Videos

Last Updated: Jan 13, 2026

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy
11:53

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

Published on: October 14, 2017

12.1K
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

414
Operation of the Collaborative Composite Manufacturing CCM System
10:09

Operation of the Collaborative Composite Manufacturing CCM System

Published on: October 1, 2019

7.1K

Area of Science:

  • Robotics and Automation
  • Operations Research
  • Artificial Intelligence

Background:

  • Warehouse order picking faces challenges in optimizing robot pathfinding.
  • Existing methods often lack efficiency in large-scale, clustered robotic systems.
  • Integrating symbolic control with metaheuristics offers a novel solution.

Purpose of the Study:

  • To propose an architectural model for path optimization in clustered warehouse robotics.
  • To develop a hybrid approach combining symbolic control and bio-inspired metaheuristic algorithms.
  • To enhance the efficiency and reduce the travel distance of warehouse robots.

Main Methods:

  • A hybrid approach integrating symbolic control and metaheuristic techniques.
  • Utilizing bio-inspired algorithms: Walrus Optimization Algorithm (WOA), Puma Optimization Algorithm (POA), and Flying Foxes Algorithm (FFA).
  • Formulating cluster management as a discrete synthesis task with safety and optimization objectives.

Main Results:

  • The hybrid approach achieved up to 3.01% shorter intra-cluster paths compared to traditional metaheuristics.
  • An average intra-cluster path improvement of 1.2% was observed.
  • The system demonstrated an average of 2.05% shorter paths for the entire warehouse, outperforming existing methods.

Conclusions:

  • The proposed hybrid model significantly improves path optimization in warehouse robotics.
  • The integration of symbolic control and nature-inspired algorithms offers a robust and effective solution.
  • Experimental results validate the practical effectiveness and consistent performance of the approach.