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

Reinforcement Schedules01:24

Reinforcement Schedules

496
Positive reinforcement is a powerful method for teaching new behaviors to both animals and humans. B.F. Skinner demonstrated this with his experiments using rats in a Skinner box. When a rat pressed a lever, it received a food pellet. This immediate reward encouraged the rat to repeat the behavior. This method, where a reward follows every instance of the behavior, is known as continuous reinforcement. It is highly effective for establishing new behaviors quickly.
Once a behavior is learned,...
496
Mean free path and Mean free time01:22

Mean free path and Mean free time

5.1K
Consider the gas molecules in a cylinder. They move in a random motion as they collide with each other and change speed and direction. The average of all the path lengths between collisions is known as the "mean free path."
5.1K
Path Between Thermodynamics States01:21

Path Between Thermodynamics States

4.0K
Consider the two thermodynamic processes involving an ideal gas that are represented by paths AC and ABC in Figure 1:
4.0K
Interference: Path Lengths01:10

Interference: Path Lengths

2.2K
Consider two sources of sound, that may or may not be in phase, emitting waves at a single frequency, and consider the frequencies to be the same.
Two special sources may be considered when they are in phase. This can be easily achieved by feeding the two sources from the same source. An example would be synchronizing the two speakers by feeding them with the same source, such as the sound waves produced by a tuning fork. This setup ensures that the two sources have the same frequency and are...
2.2K
Behavior of Gas Molecules: Molecular Diffusion, Mean Free Path, and Effusion03:48

Behavior of Gas Molecules: Molecular Diffusion, Mean Free Path, and Effusion

31.3K
Although gaseous molecules travel at tremendous speeds (hundreds of meters per second), they collide with other gaseous molecules and travel in many different directions before reaching the desired target. At room temperature, a gaseous molecule will experience billions of collisions per second. The mean free path is the average distance a molecule travels between collisions. The mean free path increases with decreasing pressure; in general, the mean free path for a gaseous molecule will be...
31.3K
Sampling Plans01:23

Sampling Plans

971
Sampling is a crucial step in analytical chemistry, allowing researchers to collect representative data from a large population. Common sampling methods include random, judgmental, systematic, stratified, and cluster sampling.
Random sampling is a method where each member of the population has an equal chance of being selected for the sample. It involves selecting individuals randomly, often using random number generators or lottery-type methods. For example, when analyzing the properties of a...
971

You might also read

Related Articles

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

Sort by
Same author

Microdroplet Intaking Spinning Turbine for Active Radiation Fog Harvesting.

Advanced materials (Deerfield Beach, Fla.)·2026
Same author

Biomechanical mechanisms of multidirectional dynamic compensatory muscle fatigue induced by abnormal cervical curvature: a cross-sectional case-control study based on surface electromyography and Cobb angle.

Frontiers in sports and active living·2025
Same author

Biomimetic Compound Eyes with Gradient Ommatidium Arrays.

ACS applied materials & interfaces·2023
Same author

Flavonoids from <i>Hippophae rhamnoides</i> Linn. Revert Doxorubicin-Induced Cardiotoxicity through Inhibition of Mitochondrial Dysfunction in H9c2 Cardiomyoblasts In Vitro.

International journal of molecular sciences·2023
Same author

A Clustering-Enhanced Memetic Algorithm for the Quadratic Minimum Spanning Tree Problem.

Entropy (Basel, Switzerland)·2023
Same author

Protective Effects of <i>Hippophae rhamnoides</i> L. Phenylpropanoids on Doxorubicin-Induced Cardiotoxicity in Zebrafish.

Molecules (Basel, Switzerland)·2022
Same journal

RETRACTED: Zhang et al. A Novel Framework for Reconstruction and Imaging of Target Scattering Centers via Wide-Angle Incidence in Radar Networks. <i>Sensors</i> 2025, <i>25</i>, 6802.

Sensors (Basel, Switzerland)·2026
Same journal

Enhancing Unsupervised Multi-Source Domain Adaptation for Person Re-Identification via Mixture of Experts and Graph-Based Relation.

Sensors (Basel, Switzerland)·2026
Same journal

Development of an Instrumented Glove for Palmar Pressure Assessment in Kayakers.

Sensors (Basel, Switzerland)·2026
Same journal

Development and Experimental Validation of an Autonomous IoT-Based Monitoring System for Real-Time Water Quality Assessment in the Amazon River.

Sensors (Basel, Switzerland)·2026
Same journal

Semi-Supervised Adversarial Learning Framework for Controller Area Network Bus Intrusion Detection.

Sensors (Basel, Switzerland)·2026
Same journal

Smart Optimization Method for Safety Signs in Innovative Manufacturing Environments Integrating Industrial Field IoT Sensors and Knowledge Graphs.

Sensors (Basel, Switzerland)·2026
See all related articles

Related Experiment Video

Updated: Jan 29, 2026

Watershed Planning within a Quantitative Scenario Analysis Framework
12:44

Watershed Planning within a Quantitative Scenario Analysis Framework

Published on: July 24, 2016

8.5K

A New Framework for Job Shop Integrated Scheduling and Vehicle Path Planning Problem.

Ruiqi Li1, Jianlin Mao2, Xing Wu1

  • 1Faculty of Mechanical and Electrical Engineering, Kunming University of Science and Technology, Kunming 650032, China.

Sensors (Basel, Switzerland)
|January 28, 2026
PubMed
Summary
This summary is machine-generated.

This study introduces a new framework for flexible manufacturing, integrating job scheduling, robot task allocation, and collision-free path planning. The approach enhances production efficiency by optimizing robot movements and task sequencing, reducing overall completion time.

Keywords:
PBS algorithmjob shop scheduling problem with limited transportationmulti-robot path planningreinforcement learning

More Related Videos

A Pipeline for 3D Multimodality Image Integration and Computer-assisted Planning in Epilepsy Surgery
09:41

A Pipeline for 3D Multimodality Image Integration and Computer-assisted Planning in Epilepsy Surgery

Published on: May 20, 2016

12.7K
A Do-it-yourself System for Scheduled Feeding of Laboratory Rodents in Their Home Cage
04:49

A Do-it-yourself System for Scheduled Feeding of Laboratory Rodents in Their Home Cage

Published on: June 6, 2025

874

Related Experiment Videos

Last Updated: Jan 29, 2026

Watershed Planning within a Quantitative Scenario Analysis Framework
12:44

Watershed Planning within a Quantitative Scenario Analysis Framework

Published on: July 24, 2016

8.5K
A Pipeline for 3D Multimodality Image Integration and Computer-assisted Planning in Epilepsy Surgery
09:41

A Pipeline for 3D Multimodality Image Integration and Computer-assisted Planning in Epilepsy Surgery

Published on: May 20, 2016

12.7K
A Do-it-yourself System for Scheduled Feeding of Laboratory Rodents in Their Home Cage
04:49

A Do-it-yourself System for Scheduled Feeding of Laboratory Rodents in Their Home Cage

Published on: June 6, 2025

874

Area of Science:

  • Manufacturing Engineering
  • Robotics
  • Operations Research

Background:

  • Traditional manufacturing struggles with flexible demands like small batches.
  • Existing Job Shop Scheduling Problems with Transportation (JSP-T) often neglect robot path planning and collision avoidance.
  • Flexible manufacturing requires integrated solutions for scheduling, task allocation, and path planning.

Purpose of the Study:

  • To develop a unified framework for workshop scheduling, material handling robot task allocation, and conflict-free path planning.
  • To minimize the maximum completion time (Makespan) by integrating handling time and robot paths.
  • To enhance adaptability to job changes in flexible manufacturing.

Main Methods:

  • An extended JSP-T problem model incorporating handling time and robot paths.
  • An improved Deep Q-Network (DQN) for dynamic scheduling.
  • The Priority Based Search (PBS) algorithm for conflict-free path planning.

Main Results:

  • The proposed scheduling algorithm improved Makespan by 9.7% compared to PPO.
  • The PBS algorithm successfully generated optimized, conflict-free paths for multiple robots.
  • The integrated framework demonstrated improved performance in Makespan and path optimization.

Conclusions:

  • The novel framework effectively integrates scheduling, task allocation, and path planning for flexible manufacturing.
  • The approach enhances production efficiency and adaptability in dynamic workshop environments.
  • This method provides a robust solution for complex robotic scheduling and navigation challenges.