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

Randomized Experiments01:13

Randomized Experiments

7.9K
The randomization process involves assigning study participants randomly to experimental or control groups based on their probability of being equally assigned. Randomization is meant to eliminate selection bias and balance known and unknown confounding factors so that the control group is similar to the treatment group as much as possible. A computer program and a random number generator can be used to assign participants to groups in a way that minimizes bias.
Simple randomization
Simple...
7.9K
Direct Motor Pathways01:11

Direct Motor Pathways

2.5K
The direct motor pathways, also known as the pyramidal tracts, are a group of neural pathways that originate in the brain and descend through the spinal cord. They control the voluntary movement of the body. There are two major direct motor pathways: the corticospinal and the corticobulbar tracts.
The corticospinal tract is responsible for the voluntary movement of the limbs and trunk. It originates in the cerebral cortex of the brain and descends through the cerebrum's internal capsule and...
2.5K
Rolling Resistance: Problem Solving01:17

Rolling Resistance: Problem Solving

466
Rolling resistance, also known as rolling friction, is the force that resists the motion of a rolling object, such as a wheel, tire, or ball, when it moves over a surface. It is caused by the deformation of the object and the surface in contact with each other, as well as other factors like internal friction, hysteresis, and energy losses within the materials. Rolling resistance opposes the object's motion, requiring additional energy to overcome it and maintain movement. In practical...
466
Survival Tree01:19

Survival Tree

166
Survival trees are a non-parametric method used in survival analysis to model the relationship between a set of covariates and the time until an event of interest occurs, often referred to as the "time-to-event" or "survival time." This method is particularly useful when dealing with censored data, where the event has not occurred for some individuals by the end of the study period, or when the exact time of the event is unknown.
 Building a Survival Tree
Constructing a...
166
Indirect Motor Pathways01:22

Indirect Motor Pathways

1.8K
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...
1.8K
Relative Motion Analysis using Rotating Axes-Problem Solving01:29

Relative Motion Analysis using Rotating Axes-Problem Solving

453
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...
453

You might also read

Related Articles

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

Sort by
Same author

Erratum to: Azvudine remodels the local immunosuppressive microenvironment and exhibits sustained anti-tumor effects in combination with anti-PD-1 therapies.

MedScience·2026
Same author

Study of α-Amyrin targeting Sirt1/PGC-1α/PPARα axis to regulate fatty acid metabolism against liver fibrosis.

Phytomedicine : international journal of phytotherapy and phytopharmacology·2026
Same author

The oral microbiome is associated with the diagnosis, prognosis and radiotherapy sensitivity of esophageal cancer.

Journal of translational medicine·2026
Same author

Development of a machine learning-based mortality prediction model for patients with mental disorders and COVID-19.

Frontiers in cellular and infection microbiology·2026
Same author

Nuclear OXCT1 attenuates histone β-hydroxybutyrylation-mediated MHC-I transcription.

Nature chemical biology·2026
Same author

Asiaticoside alleviates inflammation and intestinal barrier dysfunction in Crohn's disease-like colitis in a manner associated with the RhoA/ROCK/MLC pathway.

Naunyn-Schmiedeberg's archives of pharmacology·2026
Same journal

DARUMA: a gateway to fast and easy prediction of intrinsically disordered regions.

PeerJ. Computer science·2026
Same journal

Alzheimer's disease detection using a quantum deep neural network with Haralick feature extraction and simulated annealing optimization.

PeerJ. Computer science·2026
Same journal

Network anomaly detection using Deep Autoencoder and parallel Artificial Bee Colony algorithm-trained neural network.

PeerJ. Computer science·2026
Same journal

An anomaly detection model for multivariate time series with anomaly perception.

PeerJ. Computer science·2026
Same journal

Retraction: A wormhole attack detection method for tactical wireless sensor networks.

PeerJ. Computer science·2026
Same journal

Evaluation of mental disorder with prioritization of its type by utilizing the bipolar complex fuzzy decision-making approach based on Schweizer-Sklar prioritized aggregation operators.

PeerJ. Computer science·2026
See all related articles

Related Experiment Video

Updated: Sep 18, 2025

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

11.8K

Automated guided vehicle (AGV) path optimization method based on improved rapidly-exploring random trees.

Zhigang Ren1,2, Anjiang Cai1, Feilong Xu2

  • 1School of Mechanical and Electrical Engineering, Xi'an University of Architecture and Technology, Xi'an, China.

Peerj. Computer Science
|June 26, 2025
PubMed
Summary
This summary is machine-generated.

This study introduces an improved Rapidly-exploring Random Tree (RRT) algorithm for automated guided vehicle (AGV) path planning. The enhanced RRT algorithm significantly reduces path length and planning time, offering superior performance for practical AGV applications.

Keywords:
Adaptive step sizeFast nearest neighbor searchPath planningRapidly-exploring random tree

More Related Videos

Robotic Sensing and Stimuli Provision for Guided Plant Growth
08:02

Robotic Sensing and Stimuli Provision for Guided Plant Growth

Published on: July 1, 2019

8.1K
Utilizing a Reconfigurable Maze System to Enhance the Reproducibility of Spatial Navigation Tests in Rodents
04:41

Utilizing a Reconfigurable Maze System to Enhance the Reproducibility of Spatial Navigation Tests in Rodents

Published on: December 2, 2022

2.9K

Related Experiment Videos

Last Updated: Sep 18, 2025

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

11.8K
Robotic Sensing and Stimuli Provision for Guided Plant Growth
08:02

Robotic Sensing and Stimuli Provision for Guided Plant Growth

Published on: July 1, 2019

8.1K
Utilizing a Reconfigurable Maze System to Enhance the Reproducibility of Spatial Navigation Tests in Rodents
04:41

Utilizing a Reconfigurable Maze System to Enhance the Reproducibility of Spatial Navigation Tests in Rodents

Published on: December 2, 2022

2.9K

Area of Science:

  • Robotics and Automation
  • Computer Science
  • Artificial Intelligence

Background:

  • Traditional Rapidly-exploring Random Tree (RRT) algorithms face challenges in computational efficiency, convergence speed, path curvature, and local optima for automated guided vehicle (AGV) path planning.
  • Existing RRT variants often struggle to balance planning quality with computational cost in dynamic environments.

Purpose of the Study:

  • To enhance the performance of RRT algorithms for AGV path planning by addressing limitations in efficiency, convergence, and path quality.
  • To develop an improved RRT algorithm that integrates adaptive step-size optimization and K-dimensional tree (KD-Tree) for faster and smoother path generation.

Main Methods:

  • Implementation of an adaptive step-size optimization strategy to dynamically adjust search parameters, improving node selection and planning efficiency.
  • Integration of K-dimensional tree (KD-Tree) for accelerated nearest neighbor searches, significantly reducing path planning computation time.
  • Application of cubic spline interpolation to smooth the generated optimal paths, enhancing overall path quality.

Main Results:

  • The improved RRT algorithm demonstrated superior performance compared to traditional RRT, RRT*, and Informed-RRT*.
  • Significant reductions in average path length (by 164.33 m) and average search time (by 3.3 s) were achieved.
  • Enhanced path smoothness and planning quality were observed, making the algorithm more suitable for real-world AGV deployment.

Conclusions:

  • The proposed improved RRT algorithm effectively overcomes the limitations of conventional RRT methods for AGV path planning.
  • The combination of adaptive step-size optimization, KD-Tree search, and path smoothing offers a robust and efficient solution for practical AGV navigation.
  • The algorithm's improved efficiency and path quality make it a promising approach for real-world automated guided vehicle systems.