Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Kinematic Equations: Problem Solving

Kinematic Equations: Problem Solving

When analyzing one-dimensional motion with constant acceleration, the problem-solving strategy involves identifying the known quantities and choosing the appropriate kinematic equations to solve for the unknowns. Either one or two kinematic equations are needed to solve for the unknowns, depending on the known and unknown quantities. Generally, the number of equations required is the same as the number of unknown quantities in the given example. Two-body pursuit problems always require two...

One-Degree-of-Freedom System

One-Degree-of-Freedom System

In mechanical engineering, one-degree-of-freedom systems form the basis of a wide range of electrical and mechanical components. Using these models, engineers can predict the behavior of various parts in a larger system, which gives them insight into how different forces interact with each other.
A one-degree-of-freedom system is defined by an independent variable that determines its state and behavior. One example of a one-degree-of-freedom system is a simple harmonic oscillator, such as a...

Relative Motion Analysis using Rotating Axes-Problem Solving

Relative Motion Analysis using Rotating Axes-Problem Solving

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...

Torque Free Motion

Torque Free Motion

The torque-free motion refers to the movement of a rigid body in space when no external torques are acting upon it. This type of motion can be observed in environments where there are no external forces or frictions, like in outer space. For example, a rotation of Mars in space is a torque-free motion. Mars is an axisymmetric object, meaning it has an axis of symmetry along which it rotates, designated as the z-axis. The rotating frame of reference is defined such that the center of mass of...

Kinematic Equations - II

Kinematic Equations - II

The second kinematic equation expresses the final position of an object in terms of its initial position, the distance traveled with the initial constant velocity, and the distance traveled due to a change in velocity. Similar to the first kinematic equation, this equation is also only valid when the acceleration is constant throughout the motion of an object.
Suppose a car merges into freeway traffic on a 200 m long ramp. If its initial velocity is 10 m/s and it accelerates at 2 m/s2, then the...

Two-Dimensional Force System: Problem Solving

Two-Dimensional Force System: Problem Solving

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...

You might also read

Related Articles

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

Sort by

Same author

Interpretable Deep Learning Radiomics for Differentiating Pleomorphic Adenoma and Warthin Tumor.

In vivo (Athens, Greece)·2026

Same author

Terahertz Dielectric Characterization and Hybrid Debye-Lorentz Modeling of Silicone Rubber Composites for Composite Insulators.

Polymers·2026

Same author

Expansion and CAR engineering of granulocyte-monocyte progenitors for cellular immunotherapy.

Cell·2026

Same author

ENPP1 blockade with a humanized monoclonal antibody enhances renal repair after acute kidney injury.

Cell stem cell·2026

Same author

Large-scale, spatially resolved panoramic CRISPR screening in native tissue environments using Perturb-DBiT.

Nature biotechnology·2026

Same author

Relationship between C-reactive protein-to-albumin ratio and new-onset coronary artery disease and its severity in different glucose metabolic states: A retrospective cohort study.

Medicine·2026

Same journal

Development of a fast-crosslinking hydrogel system doped with magnetic mesoporous nanoparticles for sustained fluoride ion release and caries prevention.

Frontiers in bioengineering and biotechnology·2026

Same journal

Editorial: Advancements in research on plant-derived extracellular vesicles and nanoparticles- applications in biotechnology and one health.

Frontiers in bioengineering and biotechnology·2026

Same journal

Operational integrity screening for telemedicine workflows: an explainable motion and audiovisual coherence framework.

Frontiers in bioengineering and biotechnology·2026

Same journal

Advances in biomechanical modeling of lumbar spine diseases and tumors: gaps, opportunities, and AI integration.

Frontiers in bioengineering and biotechnology·2026

Same journal

Engineering <i>Lactococcus cremoris</i> strains co-expressing two cellulase genes for growth on cellulose.

Frontiers in bioengineering and biotechnology·2026

Same journal

Exosome-mediated tendon-derived stem cell therapy strategies: potential and challenges.

Frontiers in bioengineering and biotechnology·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Oct 5, 2025

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy

Published on: October 14, 2017

Genetic Algorithm-Based Trajectory Optimization for Digital Twin Robots.

Xin Liu^1,2, Du Jiang^1,3, Bo Tao^1,4

¹Key Laboratory of Metallurgical Equipment and Control Technology of Ministry of Education, Wuhan University of Science and Technology, Wuhan, China.

Frontiers in Bioengineering and Biotechnology

|January 27, 2022

Summary

This summary is machine-generated.

This study optimizes mobile robot trajectories using a digital twin and genetic algorithms. Virtual training and real-world data interaction improve robot accuracy in material handling tasks.

Keywords:

digital twin genetic algorithm mobile robot trajectory optimization virtual model

More Related Videos

Operation of the Collaborative Composite Manufacturing CCM System

Operation of the Collaborative Composite Manufacturing CCM System

Published on: October 1, 2019

Robotic Mirror Therapy System for Functional Recovery of Hemiplegic Arms

Robotic Mirror Therapy System for Functional Recovery of Hemiplegic Arms

Published on: August 15, 2016

Related Experiment Videos

Last Updated: Oct 5, 2025

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy

Published on: October 14, 2017

Operation of the Collaborative Composite Manufacturing CCM System

Operation of the Collaborative Composite Manufacturing CCM System

Published on: October 1, 2019

Robotic Mirror Therapy System for Functional Recovery of Hemiplegic Arms

Robotic Mirror Therapy System for Functional Recovery of Hemiplegic Arms

Published on: August 15, 2016

Area of Science:

Robotics
Artificial Intelligence
Manufacturing Automation

Background:

Mobile robots are crucial for automated material handling in manufacturing.
Robot trajectory accuracy directly impacts operational efficiency.
Optimizing robot movement is essential for advanced automation.

Purpose of the Study:

To present a novel method for optimizing mobile robot trajectories.
To leverage digital twin technology for enhanced robot path planning.
To improve the accuracy and efficiency of mobile robots in industrial settings.

Main Methods:

Creating a digital twin of the mobile robot using Unity.
Training robot trajectories in a virtual environment.
Utilizing genetic algorithms for path planning and trajectory optimization.
Dynamically adjusting virtual trajectories based on physical robot data.

Main Results:

Successful optimization of mobile robot trajectories through virtual-real data interaction.
Reduction in movement trajectory errors for physical robots.
Demonstrated a method for mapping virtual learning to physical robot control.

Conclusions:

The digital twin approach effectively optimizes mobile robot trajectories.
Genetic algorithms enhance path planning accuracy.
This method enables accurate real-world application of virtual robot training.