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

1.2K
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...
1.2K
Three-Dimensional Force System:Problem Solving01:30

Three-Dimensional Force System:Problem Solving

1.5K
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...
1.5K
Hierarchy of Motor Control01:18

Hierarchy of Motor Control

6.9K
The hierarchy of motor control refers to the different levels of organization and processing involved in controlling movement in the body. These levels range from higher cortical areas involved in planning and decision-making to lower spinal cord reflexes that respond automatically to external stimuli.
6.9K
Collisions in Multiple Dimensions: Problem Solving01:06

Collisions in Multiple Dimensions: Problem Solving

5.7K
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...
5.7K
Two-Dimensional Force System: Problem Solving01:29

Two-Dimensional Force System: Problem Solving

1.5K
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...
1.5K
Indirect Motor Pathways01:22

Indirect Motor Pathways

3.9K
The indirect motor or extrapyramidal pathways originate in the brainstem, the lower portion of the brain that connects it to the spinal cord. They consist of several distinct tracts, each with specialized functions. The four main tracts of the indirect motor pathways are the vestibulospinal tract, the reticulospinal tract, the tectospinal tract, and the rubrospinal tract.
The vestibulospinal tract originates in the vestibular nuclei of the brainstem. The vestibular system detects changes in...
3.9K

You might also read

Related Articles

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

Sort by
Same author

Effects of acupuncture on cognitive function and lipid metabolism in post-stroke vascular dementia: a systematic review and meta-analysis of randomized controlled trials.

Frontiers in aging neuroscience·2026
Same author

RGTBind: RBF-gate graph transformer with spatially biased attention for protein-DNA binding-site prediction.

Journal of molecular modeling·2026
Same author

Integrated metabolomics and transcriptomics reveal metabolite differences between wild and cultivated Angelica sinensis.

BMC plant biology·2026
Same author

Contrasting microbial iron metabolism in sediments from oxic and hypoxic estuaries.

Frontiers in microbiology·2026
Same author

Charge Density Wave-Induced Highly Sensitive Terahertz Detection Based on a Large Nonlinear Hall Effect.

ACS nano·2026
Same author

Predictive value of EASIX for CKD patients with CRS.

Medicine·2026

Related Experiment Video

Updated: Apr 15, 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

12.4K

MEG-RRT*: A Hierarchical Hybrid Path Planning Framework for Warehouse AGVs Using Multi-Objective Evolutionary

Qingli Wu1,2, Qichao Tang3, Lei Ma1

  • 1School of Electrical Engineering, Southwest Jiaotong University, Chengdu 611756, China.

Sensors (Basel, Switzerland)
|April 14, 2026
PubMed
Summary
This summary is machine-generated.

A new planning framework, MEG-RRT*, enhances autonomous guided vehicle navigation in challenging warehouse environments. It improves path efficiency and safety, overcoming limitations of traditional algorithms for automated logistics.

Keywords:
autonomous guided vehicle (AGV)multi-objective evolutionary algorithmnarrow passagepath planning

More Related Videos

Operation of the Collaborative Composite Manufacturing CCM System
10:09

Operation of the Collaborative Composite Manufacturing CCM System

Published on: October 1, 2019

7.2K
Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
11:53

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm

Published on: December 9, 2012

13.6K

Related Experiment Videos

Last Updated: Apr 15, 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

12.4K
Operation of the Collaborative Composite Manufacturing CCM System
10:09

Operation of the Collaborative Composite Manufacturing CCM System

Published on: October 1, 2019

7.2K
Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
11:53

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm

Published on: December 9, 2012

13.6K

Area of Science:

  • Robotics
  • Artificial Intelligence
  • Logistics Technology

Background:

  • Autonomous guided vehicle (AGV) navigation in high-density warehouses is hindered by narrow aisles and U-shaped traps.
  • Traditional path planning algorithms struggle with slow convergence and suboptimal paths in these complex environments.

Purpose of the Study:

  • To introduce a novel hierarchical hybrid planning framework, MEG-RRT* (Multi-objective Evolutionary Guided RRT*), for AGV navigation.
  • To address the limitations of existing algorithms in terms of speed, path optimality, and safety in challenging warehouse settings.

Main Methods:

  • Integration of a Multi-objective Optimization algorithm (NSGA-II) into the RRT* sampling process to guide exploration.
  • Implementation of a geometry-aware execution layer with features like radar-guided steering and adaptive step-size control.
  • Comparative experimental validation in simulated narrow passages and high-density warehouse environments.

Main Results:

  • MEG-RRT* achieved a 100% success rate in complex narrow passages.
  • Reduced convergence time by 43.5% versus RRT* and 44.9% versus Informed-RRT*.
  • Generated paths 39% shorter and kinematically favorable in warehouse environments compared to RRT-Connect.

Conclusions:

  • MEG-RRT* effectively balances exploration efficiency and solution optimality for AGV navigation.
  • The proposed framework offers a superior solution for automated logistics applications in complex, high-density environments.
  • Enhanced path planning capabilities are crucial for advancing AGV performance and reliability.