Jove
Visualize
Contact Us

Related Concept Videos

Absolute Motion Analysis- General Plane Motion01:24

Absolute Motion Analysis- General Plane Motion

539
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...
539
Application of Linearization and Approximation01:29

Application of Linearization and Approximation

53
A drone flying through complex terrain often relies on more than one sensing method to estimate small changes in altitude. Along with direct measurements, air pressure provides a useful indirect indicator of vertical movement. Atmospheric pressure decreases as altitude increases, and this relationship is commonly described using an exponential model. Although accurate, converting pressure measurements into altitude values requires calculations that are too complex to perform repeatedly during...
53
Load along a Single Axis01:29

Load along a Single Axis

630
In structural engineering, the analysis of beams subjected to varying loads is a critical aspect of understanding the behavior and performance of these structural elements. A common scenario involves a beam subjected to a combination of different load distributions.
Consider a beam of length L subjected to a varying load, which is a combination of parabolic and trapezoidal load distribution along the x-axis. In this case, it is essential to determine the resultant loads, their locations, and...
630
Orthogonal Trajectories01:26

Orthogonal Trajectories

22
Orthogonal trajectories describe the geometric relationship between two families of curves that intersect each other at right angles. One illustrative case involves a family of parabolas that open sideways along the x-axis. These curves share a common shape but differ by a scaling parameter, resulting in a set of curves that all pass through the origin and widen at different rates.Determining Orthogonal TrajectoriesTo identify the orthogonal trajectories for these parabolas, the first step...
22
Distributed Loads: Problem Solving01:21

Distributed Loads: Problem Solving

1.1K
Beams are structural elements commonly employed in engineering applications requiring different load-carrying capacities. The first step in analyzing a beam under a distributed load is to simplify the problem by dividing the load into smaller regions, which allows one to consider each region separately and calculate the magnitude of the equivalent resultant load acting on each portion of the beam. The magnitude of the equivalent resultant load for each region can be determined by calculating...
1.1K
Beams with Unsymmetric Loadings01:17

Beams with Unsymmetric Loadings

409
Analyzing a supported beam under unsymmetrical loadings is essential in structural engineering to understand how beams respond to varied force distributions. This analysis involves calculating the deflection and identifying points where the slope of the beam is zero, which are crucial for ensuring structural stability and functionality.
The first moment-area theorem determines the slope at any point on the beam. This theorem indicates that the change in slope between two points on a beam...
409

You might also read

Related Articles

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

Sort by
Same author

Real-Time Robust and Optimized Control of a 3D Overhead Crane System.

Sensors (Basel, Switzerland)ยท2019
See all related articles
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 Experiment Video

Updated: Jan 18, 2026

Optimization, Test and Diagnostics of Miniaturized Hall Thrusters
12:22

Optimization, Test and Diagnostics of Miniaturized Hall Thrusters

Published on: February 16, 2019

9.5K

Load-Swing Attenuation in a Quadcopter-Payload System Through Trajectory Optimisation.

Barry Feng1, Arash Khatamianfar1

  • 1School of Electrical Engineering and Telecommunications, UNSW Sydney, Sydney 2052, Australia.

Sensors (Basel, Switzerland)
|September 13, 2025
PubMed
Summary
This summary is machine-generated.

This study enhances quadcopter delivery by improving package collection and stability. A visual servoing system and a novel control scheme reduce payload oscillations for more reliable autonomous operations.

Keywords:
CUDA-accelerated tag detectionload-swing attenuationquadcoptertime-varying LQRtrajectory optimizationvisual servoing

More Related Videos

Operation of the Collaborative Composite Manufacturing CCM System
10:09

Operation of the Collaborative Composite Manufacturing CCM System

Published on: October 1, 2019

7.1K

Related Experiment Videos

Last Updated: Jan 18, 2026

Optimization, Test and Diagnostics of Miniaturized Hall Thrusters
12:22

Optimization, Test and Diagnostics of Miniaturized Hall Thrusters

Published on: February 16, 2019

9.5K
Operation of the Collaborative Composite Manufacturing CCM System
10:09

Operation of the Collaborative Composite Manufacturing CCM System

Published on: October 1, 2019

7.1K

Area of Science:

  • Robotics
  • Control Systems
  • Computer Vision

Background:

  • Multirotor quadcopters are increasingly used for last-mile delivery.
  • Battery limitations restrict their range for extended deliveries.
  • Payload arm dynamics can cause instability during package collection.

Purpose of the Study:

  • To improve quadcopter capabilities for extended-distance delivery.
  • To develop a robust package collection mechanism for quadcopters.
  • To enhance the stability of quadcopters during payload manipulation.

Main Methods:

  • Implemented a CUDA-accelerated tag detection algorithm for real-time pose estimation.
  • Developed a control scheme to attenuate load-swing in a payload arm.
  • Utilized a non-linear control strategy to manage center of mass shifts and residual energy.
  • Validated the visual servoing and load-swing attenuation through simulations and physical quadcopter implementation.

Main Results:

  • The visual servoing approach achieved real-time pose estimation.
  • The control scheme effectively attenuated aggressive load-swing.
  • The non-linear control scheme addressed instability caused by payload motion.
  • Both methods demonstrated successful performance in simulations and physical tests.

Conclusions:

  • The proposed visual servoing and control strategies enhance quadcopter performance for delivery applications.
  • These advancements address key challenges in autonomous package collection and stable flight.
  • The research contributes to the feasibility of using quadcopters for more demanding delivery tasks.