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

Three-Dimensional Force System:Problem Solving01:30

Three-Dimensional Force System:Problem Solving

1.4K
A three-dimensional force system refers to a scenario in which three forces act simultaneously in three different directions. This type of problem is commonly encountered in physics and engineering, where it is necessary to calculate the resultant force on the system, which can then be used to predict or analyze the behavior of the object or structure under consideration.
To solve a three-dimensional force system, first resolve each force into its respective scalar components. Do this using...
1.4K
Collisions in Multiple Dimensions: Problem Solving01:06

Collisions in Multiple Dimensions: Problem Solving

5.6K
In multiple dimensions, the conservation of momentum applies in each direction independently. Hence, to solve collisions in multiple dimensions, we should write down the momentum conservation in each direction separately. To help understand collisions in multiple dimensions, consider an example.
A small car of mass 1,200 kg traveling east at 60 km/h collides at an intersection with a truck of mass 3,000 kg traveling due north at 40 km/h. The two vehicles are locked together. What is the...
5.6K
Relative Motion Analysis using Rotating Axes-Problem Solving01:29

Relative Motion Analysis using Rotating Axes-Problem Solving

817
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...
817
Three-Dimensional Force System01:30

Three-Dimensional Force System

3.0K
In mechanical engineering, a three-dimensional force system is a system of forces acting in three dimensions, with forces applied along the x, y, and z coordinate axes. The three-dimensional force system is an important concept in mechanical engineering, as it allows engineers to understand and analyze the behavior of objects and structures in three dimensions. By understanding the forces acting on a system, engineers can design more efficient and effective mechanical systems that can withstand...
3.0K
Two-Dimensional Force System: Problem Solving01:29

Two-Dimensional Force System: Problem Solving

1.4K
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...
1.4K
Controller Configurations01:22

Controller Configurations

422
Controller configurations are crucial in a car's cruise control system because they manage speed over time to maintain a consistent pace regardless of road conditions, thereby meeting design goals. In traditional control systems, fixed-configuration design involves predetermined controller placement. System performance modifications are known as compensation.
Control-system compensation involves various configurations, most commonly series or cascade compensation, in which the controller...
422

You might also read

Related Articles

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

Sort by
Same author

3D nanoprinting of metals by spatiotemporally confined hot electrons via multiple-electron excitations in nanocrystals.

Nature communications·2026
Same author

Designer Dynamic DNA Nanoaggregate in Living Cell for Mitochondrial Energy Restriction.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)·2026
Same author

Dissipation-Shaped Quantum Geometry in Nonlinear Transport.

Physical review letters·2026
Same author

Reversible Tuning of Magnetic Order and Intrinsic Superconductivity in Strained FeTe Films via Stoichiometry Control.

ACS nano·2026
Same author

Dynamic, single-cell monitoring of CAR T cell identity and activation with Raman spectroscopy.

bioRxiv : the preprint server for biology·2026
Same author

In situ tracking of glycoRNAs on single-cell surface to reveal RNA heterogeneity and transport mechanism.

Nucleic acids research·2026
Same journal

In-silico combinatorial design and pharmacophore modeling of potent antimalarial 4-anilinoquinolines utilizing QSAR and computed descriptors.

SpringerPlus·2017
Same journal

Erratum to: Implication of Paris Agreement in the context of long-term climate mitigation goals.

SpringerPlus·2017
Same journal

Erratum to: Associations between adherence, depressive symptoms and health-related quality of life in young adults with cystic fibrosis.

SpringerPlus·2017
Same journal

Erratum to: Numerical method to compute acoustic scattering effect of a moving source.

SpringerPlus·2017
Same journal

Identifying appropriate protected areas for endangered fern species under climate change.

SpringerPlus·2017
Same journal

An Algorithm to detect balancing of iterated line sigraph.

SpringerPlus·2017
See all related articles

Related Experiment Video

Updated: Mar 17, 2026

Operation of the Collaborative Composite Manufacturing CCM System
10:09

Operation of the Collaborative Composite Manufacturing CCM System

Published on: October 1, 2019

7.2K

UAV formation control design with obstacle avoidance in dynamic three-dimensional environment.

Kai Chang1, Yuanqing Xia2, Kaoli Huang1

  • 1School of Automation, Mechanical Engineering College, Shijiazhuang, 050003 China.

Springerplus
|August 2, 2016
PubMed
Summary
This summary is machine-generated.

This study introduces a novel artificial potential field method for multi-unmanned aerial vehicle (UAV) systems to track moving targets. The method ensures collision avoidance and formation reconfiguration in dynamic 3D environments.

Keywords:
AssignmentCollision avoidanceFormation controlTrajectory

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

12.3K
A Standardized Obstacle Course for Assessment of Visual Function in Ultra Low Vision and Artificial Vision
09:29

A Standardized Obstacle Course for Assessment of Visual Function in Ultra Low Vision and Artificial Vision

Published on: February 11, 2014

13.6K

Related Experiment Videos

Last Updated: Mar 17, 2026

Operation of the Collaborative Composite Manufacturing CCM System
10:09

Operation of the Collaborative Composite Manufacturing CCM System

Published on: October 1, 2019

7.2K
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

12.3K
A Standardized Obstacle Course for Assessment of Visual Function in Ultra Low Vision and Artificial Vision
09:29

A Standardized Obstacle Course for Assessment of Visual Function in Ultra Low Vision and Artificial Vision

Published on: February 11, 2014

13.6K

Area of Science:

  • Robotics
  • Control Systems
  • Artificial Intelligence

Background:

  • Coordinated control of multi-unmanned aerial vehicle (UAV) systems is crucial for complex tasks.
  • Dynamic 3D environments pose significant challenges for target tracking and collision avoidance.

Purpose of the Study:

  • To develop an artificial potential field method combined with rotational vectors for multi-UAV target tracking.
  • To enable UAVs to autonomously avoid obstacles and maintain formation.
  • To achieve flexible formation control without requiring specific UAV ordering.

Main Methods:

  • An attractive potential field guides the lead UAV towards the target.
  • Repulsive forces among UAVs prevent collisions and maintain even distribution.
  • Rotation vectors are utilized for obstacle trajectory generation and avoidance maneuvers.
  • UAVs dynamically reconfigure formation after obstacle passage.

Main Results:

  • The proposed method effectively enables multi-UAV systems to track a moving target in a dynamic 3D environment.
  • Collision avoidance and formation maintenance were demonstrated through simulations.
  • Autonomous obstacle avoidance and formation reconfiguration capabilities were validated.

Conclusions:

  • The artificial potential field method with rotational vectors offers a robust solution for multi-UAV coordinated control.
  • The approach enhances the adaptability and safety of UAV systems in complex scenarios.
  • Simulations confirm the effectiveness and potential of the proposed method for real-world applications.