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

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...

You might also read

Related Articles

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

Sort by
Same author

Global trends in the burden of alcohol use disorders in the working-age population from 1990 to 2021 and projections for the next 20 years.

Frontiers in public health·2025
Same author

Development of conformation-selective antibodies targeting human SLC15A4.

Nature communications·2025
Same author

Toxic epidermal necrolysis following lamotrigine replacement therapy in a woman planning pregnancy: a case report and literature review.

BMC women's health·2025
Same author

Blueberry Bioactives in Metabolic Syndrome.

The Journal of nutrition·2025
Same author

Neural Network-Based Dynamic Prediction for Interval-Censored Data With Time-Varying Covariates: Application to Alzheimer's Disease.

Statistics in medicine·2025
Same author

Decoding <i>Penaeus vannamei</i> Allergies: How Digestion-Resistant Immunodominant Epitopes Drive IgE-Mediated Allergic Responses.

Journal of agricultural and food chemistry·2025

Related Experiment Video

Updated: May 11, 2026

Dynamic Lung Tumor Tracking for Stereotactic Ablative Body Radiation Therapy
08:17

Dynamic Lung Tumor Tracking for Stereotactic Ablative Body Radiation Therapy

Published on: June 7, 2015

15.7K

Distributed Dynamic Task Allocation for Moving Target Tracking of Networked Mobile Robots Using k-WTA Network.

Kexin Liu, Yinyan Zhang

    IEEE Transactions on Neural Networks and Learning Systems
    |March 25, 2024
    PubMed
    Summary
    This summary is machine-generated.

    This study introduces a new distributed method for cooperative robots to allocate tasks for target tracking. It uses a k-winners-take-all network for efficient, finite-time error convergence without central control.

    More Related Videos

    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

    11.6K
    A Protocol for Real-time 3D Single Particle Tracking
    10:16

    A Protocol for Real-time 3D Single Particle Tracking

    Published on: January 3, 2018

    14.9K

    Related Experiment Videos

    Last Updated: May 11, 2026

    Dynamic Lung Tumor Tracking for Stereotactic Ablative Body Radiation Therapy
    08:17

    Dynamic Lung Tumor Tracking for Stereotactic Ablative Body Radiation Therapy

    Published on: June 7, 2015

    15.7K
    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

    11.6K
    A Protocol for Real-time 3D Single Particle Tracking
    10:16

    A Protocol for Real-time 3D Single Particle Tracking

    Published on: January 3, 2018

    14.9K

    Area of Science:

    • Robotics
    • Control Systems
    • Artificial Intelligence

    Background:

    • Task allocation is crucial for cooperative robotics.
    • Existing methods often require central control or consensus filters.

    Purpose of the Study:

    • To propose a novel, fully distributed task allocation method for mobile robots in target tracking.
    • To achieve finite-time error convergence without relying on consensus filters or central units.

    Main Methods:

    • A distributed k-winners-take-all (k-WTA) network is used to select the k closest robots to the target.
    • An innovative robot control law with speed feedback and nonlinear activation functions is designed.
    • State information is shared only among communication neighbors.

    Main Results:

    • The proposed method achieves finite-time error convergence.
    • It eliminates the need for a central computing unit for k-WTA results.
    • Simulations show smaller total moving distances and speed norms compared to traditional methods.

    Conclusions:

    • The novel distributed task allocation method enhances efficiency and performance in dynamic environments.
    • This approach offers a decentralized and effective solution for cooperative mobile robot systems.