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

Ecological Disturbance02:26

Ecological Disturbance

21.1K
An ecological disturbance is a temporary disruption in the environment resulting from abiotic, biotic, or anthropogenic factors, causing a pronounced change in an ecosystem. The impact of an ecological disturbance, which can depend on its intensity, frequency, and spatial distribution, plays a significant role in shaping the species diversity within the ecosystem.
21.1K
Predicting Molecular Geometry02:27

Predicting Molecular Geometry

46.1K
VSEPR Theory for Determination of Electron Pair Geometries
46.1K
Disturbances in Heart Rhythm01:29

Disturbances in Heart Rhythm

3.0K
Arrhythmia or dysrhythmia refers to an abnormal heart rhythm caused by a defect in the heart's conduction system. It can cause the heart to beat irregularly, too quickly, or too slowly, leading to symptoms like chest pain, shortness of breath, and fainting. Factors such as stress, caffeine, alcohol, nicotine, cocaine, certain drugs, congenital defects, diseases, and electrolyte abnormalities can trigger arrhythmias.
Arrhythmias are categorized by their speed, rhythm, and origin. A slow heart...
3.0K
What are Estimates?01:06

What are Estimates?

8.9K
It isn't easy to measure a parameter such as the mean height or the mean weight of a population. So, we draw samples from the population and calculate the mean height or mean weight of the individuals in the sample. This sample data acts as a representative measure of the population parameter. These sample statistics are known as estimates. 
The estimate for the mean of a sample is denoted by ͞x, whereas the mean of the population is designated as μ. Further, parameters such...
8.9K
Location and Orientation of the Heart01:13

Location and Orientation of the Heart

10.9K
The human heart, despite its modest size and weight, is an organ of remarkable strength and endurance. Roughly the size of a fist, the heart weighs between 250 and 350 grams and is nestled within the mediastinum, the medial cavity of the thorax. It extends obliquely for about 12 to 14 cm, resting on the superior surface of the diaphragm. The heart is positioned anterior to the vertebral column and posterior to the sternum, with two-thirds of its mass lying to the left of the midsternal line.
10.9K
Cluster Sampling Method01:20

Cluster Sampling Method

14.9K
Appropriate sampling methods ensure that samples are drawn without bias and accurately represent the population. Because measuring the entire population in a study is not practical, researchers use samples to represent the population of interest.
To choose a cluster sample, divide the population into clusters (groups) and then randomly select some of the clusters. All the members from these clusters are in the cluster sample. For example, if you randomly sample four departments from your...
14.9K

You might also read

Related Articles

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

Sort by
Same author

Facial Landmark-Driven Keypoint Feature Extraction for Robust Facial Expression Recognition.

Sensors (Basel, Switzerland)·2025
Same author

A 3D Hand Attitude Estimation Method for Fixed Hand Posture Based on Dual-View RGB Images.

Sensors (Basel, Switzerland)·2022
Same author

Calibration of Ultrasonic Transducer Based on Ultrasonic Logging Instrument for Shaft Sinking.

Sensors (Basel, Switzerland)·2022
Same author

Method for generating transparent porcine tibia showing the intraosseous artery.

Journal of orthopaedic surgery and research·2022
Same author

Angiojet System Used in the Treatment of Submassive Pulmonary Embolism: A Case Report of Two Patients.

Case reports in vascular medicine·2022
Same author

Olefin Functionalization/Isomerization Enables Stereoselective Alkene Synthesis.

Nature catalysis·2022
Same journal

RETRACTED: Zhang et al. A Novel Framework for Reconstruction and Imaging of Target Scattering Centers via Wide-Angle Incidence in Radar Networks. <i>Sensors</i> 2025, <i>25</i>, 6802.

Sensors (Basel, Switzerland)·2026
Same journal

Enhancing Unsupervised Multi-Source Domain Adaptation for Person Re-Identification via Mixture of Experts and Graph-Based Relation.

Sensors (Basel, Switzerland)·2026
Same journal

Development of an Instrumented Glove for Palmar Pressure Assessment in Kayakers.

Sensors (Basel, Switzerland)·2026
Same journal

Development and Experimental Validation of an Autonomous IoT-Based Monitoring System for Real-Time Water Quality Assessment in the Amazon River.

Sensors (Basel, Switzerland)·2026
Same journal

Semi-Supervised Adversarial Learning Framework for Controller Area Network Bus Intrusion Detection.

Sensors (Basel, Switzerland)·2026
Same journal

Smart Optimization Method for Safety Signs in Innovative Manufacturing Environments Integrating Industrial Field IoT Sensors and Knowledge Graphs.

Sensors (Basel, Switzerland)·2026
See all related articles

Related Experiment Video

Updated: Feb 14, 2026

Development of a Novel Task-oriented Rehabilitation Program using a Bimanual Exoskeleton Robotic Hand
06:44

Development of a Novel Task-oriented Rehabilitation Program using a Bimanual Exoskeleton Robotic Hand

Published on: May 20, 2020

7.6K

Visual Predictive Control for Robotics with RBF-EKF Coupled State-Disturbance Estimation and Task-Oriented K-Means

Peng Ji1, Hongyu Wang1, Weina Ren2

  • 1School of Information and Automation Engineering, Shandong Key Laboratory of Key Technologies and Systems for Humanoid Robots, Qilu University of Technology (Shandong Academy of Sciences), Jinan 250353, China.

Sensors (Basel, Switzerland)
|February 13, 2026
PubMed
Summary
This summary is machine-generated.

This study enhances robotic visual servoing (IBVS) stability using a Visual Predictive Control framework. The method integrates Radial Basis Function (RBF) networks and Extended Kalman Filters (EKF) for robust control and disturbance estimation.

Keywords:
Extended Kalman Filter (EKF)Image-Based Visual Servoing (IBVS)K-means clusteringModel Predictive Control (MPC)Radial Basis Function (RBF) neural networkdisturbance estimation

More Related Videos

Author Spotlight: Enhancing Upper Limb Rehabilitation in Stroke Patients Through Advanced Robotic and Neuromodulation Technologies
05:28

Author Spotlight: Enhancing Upper Limb Rehabilitation in Stroke Patients Through Advanced Robotic and Neuromodulation Technologies

Published on: October 11, 2024

1.2K
Patient-specific Modeling of the Heart: Estimation of Ventricular Fiber Orientations
12:09

Patient-specific Modeling of the Heart: Estimation of Ventricular Fiber Orientations

Published on: January 8, 2013

14.1K

Related Experiment Videos

Last Updated: Feb 14, 2026

Development of a Novel Task-oriented Rehabilitation Program using a Bimanual Exoskeleton Robotic Hand
06:44

Development of a Novel Task-oriented Rehabilitation Program using a Bimanual Exoskeleton Robotic Hand

Published on: May 20, 2020

7.6K
Author Spotlight: Enhancing Upper Limb Rehabilitation in Stroke Patients Through Advanced Robotic and Neuromodulation Technologies
05:28

Author Spotlight: Enhancing Upper Limb Rehabilitation in Stroke Patients Through Advanced Robotic and Neuromodulation Technologies

Published on: October 11, 2024

1.2K
Patient-specific Modeling of the Heart: Estimation of Ventricular Fiber Orientations
12:09

Patient-specific Modeling of the Heart: Estimation of Ventricular Fiber Orientations

Published on: January 8, 2013

14.1K

Area of Science:

  • Robotics
  • Control Systems
  • Computer Vision

Background:

  • Image-Based Visual Servoing (IBVS) systems face instability challenges from noise, modeling errors, and disturbances.
  • Existing methods often struggle to simultaneously address these complex issues effectively.

Purpose of the Study:

  • To develop a robust Visual Predictive Control (VPC) framework for enhancing IBVS stability and tracking accuracy.
  • To integrate advanced estimation techniques for improved system performance under uncertainty.

Main Methods:

  • A feedback linearization Model Predictive Control (MPC) law was designed to manage nonlinearities and constraints.
  • A coupled state-disturbance estimation mechanism using Extended Kalman Filter (EKF) for noise suppression and Radial Basis Function (RBF) network for disturbance learning was implemented.
  • Task-oriented K-means clustering was employed to optimize RBF center selection for improved efficiency.

Main Results:

  • Lyapunov analysis confirmed the Uniformly Ultimately Bounded (UUB) stability of the proposed system.
  • Simulations showed significant reductions in estimation errors and enhanced tracking accuracy compared to traditional methods.
  • The integrated approach demonstrated superior robustness and practicality for robotic visual servoing.

Conclusions:

  • The proposed Visual Predictive Control framework effectively enhances the robustness and performance of IBVS systems.
  • The deep coordination of control and estimation strategies provides a practical solution for real-world robotic applications.
  • This research contributes to advancing the field of robotic control through improved stability and accuracy.