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

Relative Motion Analysis using Rotating Axes-Problem Solving01:29

Relative Motion Analysis using Rotating Axes-Problem Solving

685
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...
685
Relative Velocity in Two Dimensions01:11

Relative Velocity in Two Dimensions

8.8K
Relative velocity is the velocity of an object as observed from a particular reference frame, or the velocity of one reference frame with respect to another reference frame. The concept of relative velocity can be used to describe motion in two dimensions. Consider a particle P and two reference frames S and S′. The position of the origin of S′ as measured in S is , the position of P as measured in S′ is , and the position of P as measured in S is , which can be evaluated by utilizing...
8.8K
Absolute Motion Analysis- General Plane Motion01:24

Absolute Motion Analysis- General Plane Motion

510
Visualize a drone, with its propellers spinning rapidly, hovering mid-air. The fascinating movements and operations of this drone can be comprehended by applying the principle of general plane motion.
As the drone's propellers rotate, an upward force is generated that counteracts the force of gravity, enabling the drone to lift off from the ground. This initial movement of the drone is along a straight path, representing a form of translational motion. In this phase, every point on the...
510
Relative Motion Analysis - Velocity01:24

Relative Motion Analysis - Velocity

676
A stroke engine has a slider-crank mechanism that converts rotational motion from the crank into linear motion of the slider or vice versa. This mechanism consists of three main parts: the crank, the connecting rod, and the slider.
When an external force is exerted, it sets the crank into a rotational movement. This, in turn, instigates the motion of the connecting rod, leading to what is referred to as a general plane motion. This process involves two key points - point A on the connecting rod...
676
Relative Velocity in One Dimension01:10

Relative Velocity in One Dimension

9.6K
The understanding of the concept of reference frames is essential to discuss relative motion in one or more dimensions. When we say that an object has a certain velocity, we must state the velocity with respect to a given reference frame. In most examples, this reference frame has been Earth. For instance, if a statement reads that a person is sitting in a train moving at 10 m/s east, then it implies that the person on the train is moving relative to the surface of Earth at this velocity,...
9.6K
Relative Motion Analysis using Rotating Axes - Acceleration01:22

Relative Motion Analysis using Rotating Axes - Acceleration

733
Consider a component AB undergoing a linear motion. Along with a linear motion, point B also rotates around point A. To comprehend this complex movement, position vectors for both points A and B are established using a stationary reference frame. The absolute velocity of point B is determined by adding the absolute velocity of point A, the relative velocity of point B in the rotating frame, and the effects caused by the angular velocity within the rotating frame.
Time differentiation is...
733

You might also read

Related Articles

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

Sort by
Same author

Adaptive BDS RTK Positioning with Azimuth-Integer-Based Elevation Masking for Real-Time Deformation Monitoring in Mining Environments.

Sensors (Basel, Switzerland)·2026
Same author

Acetylated mitochondrial MDH2 regulates CTR2 transcription to induce cuproptosis during Escherichia coli infection.

Nature communications·2026
Same author

Host Factors Potentially Contributing to Increased Susceptibility in Certain Layer Chicken Lines.

Current issues in molecular biology·2026
Same author

Establishment of a TaqMan-based quantitative real-time PCR for the detection of porcine parvovirus.

Frontiers in veterinary science·2026
Same author

Correction: Optimized real-time path planning for micro UAVs in dynamic environments aided by reciprocal velocity obstacle algorithm.

PloS one·2026
Same author

Research Progress and Applications of the Rotavirus Reverse Genetics System.

Animals : an open access journal from MDPI·2026

Related Experiment Video

Updated: Jan 11, 2026

Operation of the Collaborative Composite Manufacturing CCM System
10:09

Operation of the Collaborative Composite Manufacturing CCM System

Published on: October 1, 2019

7.0K

Optimized real-time path planning for micro UAVs in dynamic environments aided by reciprocal velocity obstacle

Pengxiang Sun1, Wei Sun1, Wei Ding1

  • 1School of Geomatics, Liaoning Technical University, Fuxin, China.

Plos One
|November 17, 2025
PubMed
Summary

This study introduces a dynamic path planning method for autonomous micro-unmanned aerial vehicles (UAVs) in complex environments. The approach ensures safe, efficient, and smooth flight trajectories with reduced planning time, suitable for real-time missions.

More Related Videos

Automated Deployment of an Internet Protocol Telephony Service on Unmanned Aerial Vehicles Using Network Functions Virtualization
07:49

Automated Deployment of an Internet Protocol Telephony Service on Unmanned Aerial Vehicles Using Network Functions Virtualization

Published on: November 26, 2019

8.5K
A Real-Time Interactive System for Studying Confrontational Pursuit Behavior in Rodents
06:25

A Real-Time Interactive System for Studying Confrontational Pursuit Behavior in Rodents

Published on: May 16, 2025

1.3K

Related Experiment Videos

Last Updated: Jan 11, 2026

Operation of the Collaborative Composite Manufacturing CCM System
10:09

Operation of the Collaborative Composite Manufacturing CCM System

Published on: October 1, 2019

7.0K
Automated Deployment of an Internet Protocol Telephony Service on Unmanned Aerial Vehicles Using Network Functions Virtualization
07:49

Automated Deployment of an Internet Protocol Telephony Service on Unmanned Aerial Vehicles Using Network Functions Virtualization

Published on: November 26, 2019

8.5K
A Real-Time Interactive System for Studying Confrontational Pursuit Behavior in Rodents
06:25

A Real-Time Interactive System for Studying Confrontational Pursuit Behavior in Rodents

Published on: May 16, 2025

1.3K

Area of Science:

  • Robotics
  • Artificial Intelligence
  • Autonomous Systems

Background:

  • Autonomous micro-unmanned aerial vehicles (UAVs) require efficient path planning for dynamic environments.
  • Onboard computational constraints limit real-time performance in complex scenarios.
  • Existing methods struggle with safety, efficiency, and computational demands.

Purpose of the Study:

  • To propose a dynamic path planning method for micro-UAVs.
  • To ensure safety and real-time performance under computational constraints.
  • To enable efficient flight tasks in complex, dynamic environments.

Main Methods:

  • Reciprocal velocity obstacles algorithm for dynamic path planning.
  • Velocity-Obstacle Spherical Crown (VOSC) model for defining safe velocity boundaries.
  • Minimum-deflection-angle replanning strategy for smooth trajectories.
  • Critical-curve-based avoidance scheme for multi-obstacle scenarios.

Main Results:

  • Significantly reduced planning time compared to traditional methods.
  • Enhanced trajectory smoothness and dynamic feasibility.
  • Successful online execution on micro-UAV hardware.
  • Demonstrated robustness in multi-obstacle scenarios.

Conclusions:

  • The proposed method enables safe and efficient autonomous micro-UAV navigation.
  • The approach is suitable for real-time applications like warehouse navigation and urban transport.
  • The VOSC model and critical-curve scheme enhance obstacle avoidance capabilities.