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

1.5K
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...
1.5K
Relative Motion Analysis using Rotating Axes-Problem Solving01:29

Relative Motion Analysis using Rotating Axes-Problem Solving

839
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...
839
Trapezoidal Rule01:26

Trapezoidal Rule

273
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...
273

You might also read

Related Articles

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

Sort by
Same author

Research on Pathological Voice Recognition Based on XGBoost.

Journal of visualized experiments : JoVE·2026
Same author

High-Entropy Gradient-Like Design Enables 4.7 V High-Stability LiCoO<sub>2</sub> for Lithium-Ion Battery.

Small (Weinheim an der Bergstrasse, Germany)·2026
Same author

Chip-scale high spectral purity micro-ring photon-pair source based on dual-pulse control.

Optics express·2026
Same author

Evolution Mechanisms of Flow and Transient Temperature Fields in Wet Friction Pair with Bionic Hexagonal Micro-Texture.

Biomimetics (Basel, Switzerland)·2026
Same author

Retraction notice to "MicroRNA-98-HMGA2-POSTN signal pathway reverses epithelial-to-mesenchymal transition in laryngeal squamous cell carcinoma" [Biomedicine & Pharmacotherapy 117 (2019) 108998].

Biomedicine & pharmacotherapy = Biomedecine & pharmacotherapie·2026
Same author

Silicon bidirectional-pumping-assisted multiplexing single-photon sources with high count rates.

Optics letters·2026
Same journal

Novel Parent Survey Measures Sensory Behaviors Incorporating Sensory Modality and Stimulus Intensity.

Heliyon·2026
Same journal

Expression of concern: "SQSTM1/p62 promotes the progression of gastric cancer through epithelial-mesenchymal transition" [Heliyon 10 (2024) e24409].

Heliyon·2026
Same journal

Expression of concern: "TL1A promotes metastasis and EMT process of colorectal cancer" [Heliyon 10 (2024) e24392].

Heliyon·2026
Same journal

Expression of concern: "Factors affecting timing of surgery following neoadjuvant chemoradiation for esophageal cancer" [Heliyon 9 (2023) e23212].

Heliyon·2026
Same journal

Expression of concern: "On stratified single-valued soft topogenous structures" [Heliyon 10 (2024) e27926].

Heliyon·2026
Same journal

Expression of concern: "Artifact removal and motor imagery classification in EEG using advanced algorithms and modified DNN" [Heliyon 10 (2024) e27198].

Heliyon·2026
See all related articles

Related Experiment Video

Updated: May 3, 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

13.5K

Path planning of mobile robot based on improved TD3 algorithm in dynamic environment.

Peng Li1, Donghui Chen1, Yuchen Wang1

  • 1College of Intelligent Systems Science and Engineering, Harbin Engineering University, No.145 Nantong Street, Harbin, Heilongjiang Province, 15001, China.

Heliyon
|June 24, 2024
PubMed
Summary
This summary is machine-generated.

This study enhances the Twin Delayed Deep Deterministic Policy Gradient (TD3) algorithm for mobile robot path planning. The improved TD3 algorithm achieves a higher success rate and faster training speed in dynamic environments.

Keywords:
Deep reinforcement learningDynamic environmentImproved TD3 algorithmMobile robotPath planning

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

11.6K
Operation of the Collaborative Composite Manufacturing CCM System
10:09

Operation of the Collaborative Composite Manufacturing CCM System

Published on: October 1, 2019

6.6K

Related Experiment Videos

Last Updated: May 3, 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

13.5K
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

11.6K
Operation of the Collaborative Composite Manufacturing CCM System
10:09

Operation of the Collaborative Composite Manufacturing CCM System

Published on: October 1, 2019

6.6K

Area of Science:

  • Robotics
  • Artificial Intelligence
  • Machine Learning

Background:

  • The original TD3 algorithm faces challenges with low success rates and slow training speeds in mobile robot path planning within dynamic environments.
  • Efficient navigation in complex, changing environments is crucial for autonomous systems.

Purpose of the Study:

  • To improve the success rate and training speed of the TD3 algorithm for mobile robot path planning in dynamic environments.
  • To enhance the learning efficiency and exploration capabilities of reinforcement learning agents.

Main Methods:

  • Incorporated prioritized experience replay and transfer learning to boost learning efficiency.
  • Introduced a dynamic delay update strategy and added OU noise to improve path planning success rates.
  • Utilized the Turtlebot3 robot model, ROS Melodic, and Gazebo for simulation-based testing.

Main Results:

  • Achieved a 16.6% increase in path planning success rate compared to the original TD3 algorithm.
  • Reduced algorithm training time by 23.5%, indicating enhanced learning efficiency.
  • Demonstrated superior generalization performance in continuous action spaces for mobile robot path planning.

Conclusions:

  • The improved TD3 algorithm offers significant performance gains for mobile robot navigation in dynamic settings.
  • Prioritized experience replay, transfer learning, and dynamic update strategies are effective in overcoming TD3 limitations.
  • The enhanced algorithm shows promise for real-world applications requiring robust and efficient path planning.