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

Vector Functions and Motion: Problem Solving01:30

Vector Functions and Motion: Problem Solving

Accurate position tracking is fundamental to the safe and effective operation of unmanned aerial vehicles (UAVs), particularly during precision maneuvers near complex structures. In this scenario, a drone is programmed to perform a high-precision inspection of a vertical structure, starting at position ((x, y, z) = (3, 0, 0)), with an initial velocity oriented in the positive z-direction. The trajectory of the drone is governed by a time-dependent acceleration function a(t), which is predefined...

You might also read

Related Articles

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

Sort by
Same author

Evaluation of Hand Hygiene Technique in Uzbekistan: First Experience from Semmelweis Scanner-Based Digital Assessment in Educational Institutions.

Healthcare (Basel, Switzerland)·2026
Same author

Explainable transfer learning ensemble AI model for lung ultrasound pneumothorax detection with expert benchmark.

Scandinavian journal of trauma, resuscitation and emergency medicine·2026
Same author

The value of social robots supporting informal care: a discrete choice experiment among informal caregivers.

The European journal of health economics : HEPAC : health economics in prevention and care·2026
Same author

Value of Robotics: Comparison of Three Different High-Intensity Training Programs for Rehabilitation After Stroke.

Sensors (Basel, Switzerland)·2025
Same author

Quantitative Analysis of Situation Awareness During Autonomous Vehicle Handover on the Da Vinci Research Kit.

Sensors (Basel, Switzerland)·2025
Same author

Functional Assessment of Microplasma-Sprayed Hydroxyapatite-Zirconium Bilayer Coatings: Mechanical and Biological Perspectives.

Materials (Basel, Switzerland)·2025
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: Jun 27, 2026

Deep-Learning Based Multi-Joint Synchronous Tracking for Objective Quantification of Hindlimb Locomotor Kinematics in Rats
06:52

Deep-Learning Based Multi-Joint Synchronous Tracking for Objective Quantification of Hindlimb Locomotor Kinematics in Rats

Published on: April 3, 2026

Sensor-Based Differential Flatness-Based Trajectory Tracking Method and Its Application to Wheeled Mobile Robot

Alexander Krasavin1, Gaukhar Nazenova1, Adema Dairbekova1

  • 1School of Digital Technologies and Artificial Intelligence, D. Serikbayev East Kazakhstan Technical University, 19 Serikbayev Street, Ust-Kamenogorsk 070010, Kazakhstan.

Sensors (Basel, Switzerland)
|June 26, 2026
PubMed
Summary
This summary is machine-generated.

This study presents a sustainable control method for differential-drive two-wheeled mobile robots (DDWMRs). The approach ensures accurate trajectory tracking through plant linearization, offering a robust and practical solution for mobile robot navigation.

Keywords:
computed torque control (CTC)differential flatnessnonlinear controlsmart mobility programmingtrajectory trackingwheeled mobile robot (WMR)

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

Related Experiment Videos

Last Updated: Jun 27, 2026

Deep-Learning Based Multi-Joint Synchronous Tracking for Objective Quantification of Hindlimb Locomotor Kinematics in Rats
06:52

Deep-Learning Based Multi-Joint Synchronous Tracking for Objective Quantification of Hindlimb Locomotor Kinematics in Rats

Published on: April 3, 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

Area of Science:

  • Robotics
  • Control Systems Engineering
  • Sustainable Automation

Background:

  • Differential-drive two-wheeled mobile robots (DDWMRs) present complex nonlinear dynamics.
  • Existing trajectory tracking methods often require exact linearization, limiting their applicability.
  • Sustainable control strategies are increasingly important in robotics.

Purpose of the Study:

  • To develop an accurate and robust trajectory tracking controller for DDWMRs.
  • To implement a control strategy within a sustainable framework.
  • To validate the proposed method's performance through simulations.

Main Methods:

  • Utilized a nonlinear-to-linear transformation based on differential flatness.
  • Employed plant linearization instead of reference trajectory linearization.
  • Designed a two-loop control architecture: inner nonlinear loop and outer linear controller.

Main Results:

  • Achieved high trajectory tracking accuracy for a circular reference.
  • Demonstrated a maximum transient deviation of 0.28 m.
  • Recorded a steady-state mean tracking error below 0.01 m with a settling time of ~120 s.

Conclusions:

  • The plant-linearization-based framework offers accuracy and robustness for DDWMR trajectory tracking.
  • The proposed method is practically applicable in responsible control environments.
  • This approach contributes to sustainable mobile robot navigation.