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

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...
PI Controller: Design01:24

PI Controller: Design

Proportional Integral (PI) controllers are a fundamental component in modern control systems, widely used to enhance performance and mitigate steady-state errors. They are particularly effective in applications such as automatic brightness adjustment on smartphones, where they excel at mitigating steady-state errors for step-function inputs. Unlike PD controllers, which require time-varying errors to function optimally, PI controllers leverage their integral component to address residual...
Area Computation by the Alternative Coordinate Method01:24

Area Computation by the Alternative Coordinate Method

The alternative coordinate method, also known as the Shoelace Formula, is a technique for determining the area of a traverse using Cartesian coordinates. This method relies on the sequential arrangement of x and y coordinates for each point of the shape, ensuring accuracy and ease of application.In this approach, each corner's x and y coordinates are listed as fractions, with the x-coordinate as the numerator and the y-coordinate as the denominator. These coordinates are arranged sequentially...
Absolute Motion Analysis- General Plane Motion01:24

Absolute Motion Analysis- General Plane Motion

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 drone...
Trapezoidal Rule01:26

Trapezoidal Rule

Estimating the distance traveled by a vehicle using its recorded velocity over time is a common problem in physics and engineering. When velocity data is available at discrete time intervals, rather than as a continuous function, numerical integration methods such as the trapezoidal rule are often employed to approximate the total displacement.The trapezoidal rule works by dividing the total time interval into several equal segments. Within each segment, the recorded velocities at the endpoints...
Time and frequency -Domain Interpretation of PI Control01:27

Time and frequency -Domain Interpretation of PI Control

Proportional-Integral (PI) controllers are essential in many control systems to improve stability and performance. They are commonly used in everyday devices like thermostats to enhance system damping and reduce steady-state error. When the zero in the controller's transfer function is optimally placed, the system benefits significantly in terms of stability and accuracy.
Acting as a low-pass filter, the PI controller slows the system's response and extends settling times. This requires careful...

You might also read

Related Articles

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

Sort by
Same author

An Adaptive Multi-Scale Manifold Embedding Preprocessing Framework for High-Dimensional Data Visualization.

IEEE transactions on visualization and computer graphics·2026
Same author

Interpretable scRNA-seq Analysis with Intelligent Gene Selection.

Applied biochemistry and biotechnology·2026
Same author

Survival prediction in stage II/III rectal cancer: Role of immune-inflammatory biomarkers post neoadjuvant chemoradiotherapy.

Oncology letters·2026
Same author

Phenotypic and genomic study of digital dermatitis in UK Holstein heifers.

BMC genomics·2026
Same author

Porcine epidemic diarrhea virus suppresses DHX9-mediated antiviral transcription through its nucleocapsid protein.

Communications biology·2026
Same author

Construction of a Multidisciplinary Follow-Up Indicator System Based on the ABC Pathway for Patients with Atrial Fibrillation After Ablation: A Delphi Study.

Journal of multidisciplinary healthcare·2026
Same journal

Turbulent flow in a vortex separator with a directed pipe inlet.

Scientific reports·2026
Same journal

Systematic characteristic evaluation of clay-based cementitious material derived from calcium carbide residue and waste tile powder.

Scientific reports·2026
Same journal

Retraction Note: Improvement of a rapid diagnostic application of monoclonal antibodies against avian influenza H7 subtype virus using Europium nanoparticles.

Scientific reports·2026
Same journal

Applying large language models to spam detection in the Kazakh low-resource language setting.

Scientific reports·2026
Same journal

An open-source 3D printing system enabling in-situ freeze-thaw processing of hydrogels.

Scientific reports·2026
Same journal

An enhanced EfficientNet framework for automated waste classification using cosine annealing and label smoothing.

Scientific reports·2026
See all related articles

Related Experiment Video

Updated: Jun 4, 2026

Trajectory Data Analyses for Pedestrian Space-time Activity Study
16:14

Trajectory Data Analyses for Pedestrian Space-time Activity Study

Published on: February 25, 2013

Path planning based on integrating JPS-Theta* algorithm and improved APF algorithm.

Bo Li1,2, BingJie Li3, Wei Ke4

  • 1Faculty of Applied Sciences, Macao Polytechnic University, Sé, 999078, Macao SAR, China.

Scientific Reports
|June 2, 2026
PubMed
Summary
This summary is machine-generated.

This study introduces a hybrid path planning framework combining JPS-Theta*, B-spline smoothing, and an improved Artificial Potential Field (APF) algorithm. The new method enhances robot navigation efficiency and obstacle avoidance by reducing path search time and improving global path adherence.

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

Related Experiment Videos

Last Updated: Jun 4, 2026

Trajectory Data Analyses for Pedestrian Space-time Activity Study
16:14

Trajectory Data Analyses for Pedestrian Space-time Activity Study

Published on: February 25, 2013

Operation of the Collaborative Composite Manufacturing (CCM) System
10:09

Operation of the Collaborative Composite Manufacturing (CCM) System

Published on: October 1, 2019

Area of Science:

  • Robotics
  • Artificial Intelligence
  • Computer Science

Background:

  • Traditional Theta* algorithm suffers from inefficient path search due to redundant nodes.
  • Artificial Potential Field (APF) algorithm faces challenges with local optima and target unreachability.
  • Existing methods lack comprehensive solutions for efficient, smooth, and dynamically safe robot path planning.

Purpose of the Study:

  • To propose a novel hybrid path planning framework integrating JPS-Theta*, B-spline smoothing, and an improved APF algorithm.
  • To enhance path search efficiency, smoothness, and dynamic obstacle avoidance capabilities in robot navigation.
  • To address the limitations of existing Theta* and APF algorithms for improved robot path planning performance.

Main Methods:

  • Fusion of Jump Point Search (JPS) with Theta* algorithm (JPS-Theta*) to prune redundant nodes and ensure global optimality.
  • Application of B-spline curves for smoothing the JPS-Theta* path, ensuring adherence to robot kinematic constraints.
  • Integration of an improved APF algorithm with global path control nodes for real-time dynamic obstacle avoidance.

Main Results:

  • JPS-Theta* significantly reduces path search time and expansion nodes compared to the original Theta* algorithm.
  • The hybrid framework achieves faster path search, shorter path distances, and smoother trajectories.
  • The improved APF algorithm generates shorter local paths with less time consumption and better global path alignment.

Conclusions:

  • The proposed hybrid path planning framework demonstrates superior performance in terms of speed, efficiency, and path quality.
  • The integration of JPS-Theta*, B-spline smoothing, and improved APF effectively overcomes the limitations of individual algorithms.
  • This framework offers a robust solution for complex robot navigation tasks requiring dynamic obstacle avoidance and optimal path planning.